Module control.db

All access to the database.

  • MongoDb
  • Create/Read/Update/Delete
  • Caching values
Expand source code
"""All access to the database.

*   MongoDb
*   Create/Read/Update/Delete
*   Caching values
"""

import sys
from itertools import chain
from pymongo import MongoClient

from config import Config as C, Names as N
from control.utils import (
    pick as G,
    serverprint,
    now,
    filterModified,
    isIterable,
    E,
    ON,
    ONE,
    MINONE,
    COMMA,
)
from control.typ.related import castObjectId

CB = C.base
CM = C.mongo
CT = C.tables
CF = C.workflow
CW = C.web

DATABASE = CB.database
DEBUG = CB.debug
DEBUG_MONGO = G(DEBUG, N.mongo)
DEBUG_SYNCH = G(DEBUG, N.synch)
CREATOR = CB.creator

M_SET = CM.set
M_UNSET = CM.unset
M_LTE = CM.lte
M_GTE = CM.gte
M_OR = CM.OR
M_IN = CM.IN
M_EX = CM.ex
M_MATCH = CM.match
M_PROJ = CM.project
M_LOOKUP = CM.lookup
M_ELEM = CM.elem

SHOW_ARGS = set(CM.showArgs)
OTHER_COMMANDS = set(CM.otherCommands)
M_COMMANDS = SHOW_ARGS | OTHER_COMMANDS

ACTUAL_TABLES = set(CT.actualTables)
VALUE_TABLES = set(CT.valueTables)
REFERENCE_SPECS = CT.reference
CASCADE_SPECS = CT.cascade

RECOLLECT_SPECS = CT.recollect
RECOLLECT_TABLE = RECOLLECT_SPECS[N.table]
RECOLLECT_NAME = RECOLLECT_SPECS[N.tableField]
RECOLLECT_DATE = RECOLLECT_SPECS[N.dateField]

WORKFLOW_FIELDS = CF.fields
FIELD_PROJ = {field: True for field in WORKFLOW_FIELDS}

OVERVIEW_FIELDS = CT.overviewFields
OVERVIEW_FIELDS_WF = CT.overviewFieldsWorkflow

OPTIONS = CW.options

MOD_FMT = """{} on {}"""


class Db:
    """All access to the MongoDb will happen through this class.

    It will read all content of all value tables and keep it cached.

    The data in the user tables will be cached by the higher level
    `control.context.Context`, but only per request.

    !!! caution
        We start without a Mongo connection.
        We make connection the first time we need it, and then keep the
        connection in the `mongo` attribute.
        This way, we have a single Mongo connection per worker process,
        as recommended in
        [PyMongo](https://api.mongodb.com/python/current/faq.html#is-pymongo-fork-safe).
    """

    def __init__(self, regime, test=False):
        """## Initialization

        Pick up the connection to MongoDb.

        !!! note

        Parameters
        ----------
        regime: {"production", "development"}
            See below
        test: boolean
            See below.
        """

        self.regime = regime
        """*string* Whether the app runs in production or in development."""

        self.test = test
        """*boolean* Whether to connect to the test database."""

        database = G(DATABASE, N.test) if test else G(DATABASE, regime)
        self.database = database

        mode = f"""regime = {regime} {"test" if test else E}"""
        if not self.database:
            serverprint(f"""MONGO: no database configured for {mode}""")
            sys.exit(1)

        self.client = None
        """*object* The MongoDb client."""

        self.mongo = None
        """*object* The connection to the MongoDb database.

        The connnection exists before the Db singleton is initialized.
        """

        self.collected = {}
        """*dict* For each value table, the time that this worker last collected it.

        In the database there is a table which holds the last time for each value
        table that a worker updated a value in it.
        """
        self.collect()

        creator = [
            G(record, N._id)
            for record in self.user.values()
            if G(record, N.eppn) == CREATOR
        ]
        if not creator:
            serverprint(f"""DATABASE: no creator user found in {database}.user""")
            sys.exit(1)

        self.creatorId = creator[0]
        """*ObjectId* System user.

        There is a userId, fixed by configuration, that represents the system.
        It is only used when user records are created: those records will said
        to be created by the system.
        """

    def mongoOpen(self):
        """Open connection with MongoDb.

        Which database we open, depends on `Db.regime` and `Db.test`.
        """

        client = self.client
        mongo = self.mongo
        database = self.database

        if not mongo:
            client = MongoClient()
            mongo = client[database]
            self.client = client
            self.mongo = mongo
            serverprint(f"""MONGO: new connection to {database}""")

    def mongoClose(self):
        """Close connection with MongoDb.

        We need this, because before we fork the process to workers,
        all MongoDb connections should be closed.
        """

        client = self.client

        if client:
            client.close()
            self.client = None
            self.mongo = None
            serverprint("""MONGO: connection closed""")

    def mongoCmd(self, label, table, command, *args, **kwargs):
        """Wrapper around calls to MongoDb.

        All commands fired at the NongoDb go through this wrapper.
        It will spit out debug information if mongo debugging is True.

        Parameters
        ----------
        label: string
            A key to be mentioned in debug messages.
            Very convenient to put here the name of the method that calls mongoCmd.
        table: string
            The table in MongoDB that is targeted by the command.
            If the table does not exists, no command will be fired.
        command: string
            The Mongo command to execute.
            The command must be listed in the mongo.yaml config file.
        *args: iterable
            Additional arguments will be passed straight to the Mongo command.

        Returns
        -------
        mixed
            Whatever the the MongoDb returns.
        """

        self.mongoOpen()
        mongo = self.mongo

        method = getattr(mongo[table], command, None) if command in M_COMMANDS else None
        warning = """!UNDEFINED""" if method is None else E
        if DEBUG_MONGO:
            argRep = args[0] if args and args[0] and command in SHOW_ARGS else E
            kwargRep = COMMA.join(f"{k}={v}" for (k, v) in kwargs.items())
            serverprint(
                f"""MONGO<<{label}>>.{table}.{command}{warning}({argRep} {kwargRep})"""
            )
        if method:
            return method(*args, **kwargs)
        return None

    def cacheValueTable(self, valueTable):
        """Caches the contents of a value table.

        The tables will be cached under two attributes:

        the name of the table
        :   dictionary keyed by id and valued by the corresponding record

        the name of the table + `Inv`
        :   dictionary keyed by a key field and valued by the corresponding id.

        Parameters
        ----------
        valueTable: string
            The value table to be cached.
        """

        valueList = list(self.mongoCmd(N.collect, valueTable, N.find))
        repField = (
            N.iso
            if valueTable == N.country
            else N.eppn
            if valueTable == N.user
            else N.rep
        )

        setattr(
            self, valueTable, {G(record, N._id): record for record in valueList},
        )
        setattr(
            self,
            f"""{valueTable}Inv""",
            {G(record, repField): G(record, N._id) for record in valueList},
        )
        if valueTable == N.permissionGroup:
            setattr(
                self,
                f"""{valueTable}Desc""",
                {G(record, repField): G(record, N.description) for record in valueList},
            )

    def collect(self):
        """Collect the contents of the value tables.

        Value tables have content that is needed almost all the time.
        All value tables will be completely cached within Db.

        !!! note
            This is meant to run at start up, before the workers start.
            After that, this worker will not execute it again.
            See also `recollect`.

        !!! warning
            We must take other workers into account. They need a signal
            to recollect. See `recollect`.
            We store the time that this worker has collected each table
            in attribute `collected`.

        !!! caution
            If you change the MongoDb from without, an you forget to
            put an appropriate time stamp, the app will not see it untill it
            is restarted.
            See for example how `root.makeUserRoot` handles this.

        !!! warning
            This is a complicated app.
            Some tables have records that specify whether other records are "actual".
            After collecting a value table, the "actual" items will be recomputed.
        """

        collected = self.collected

        for valueTable in VALUE_TABLES:
            self.cacheValueTable(valueTable)
            collected[valueTable] = now()

        self.collectActualItems()
        if DEBUG_SYNCH:
            serverprint(f"""COLLECTED {COMMA.join(sorted(VALUE_TABLES))}""")

    def recollect(self, table=None):
        """Collect the contents of the value tables if they have changed.

        For each value table it will be checked if they have been
        collected (by another worker) after this worker has started and if so,
        those tables and those tables only will be recollected.

        !!! caution
            Although the initial `collect` is done before workers start
            (`gunicorn --preload`), individual workers will end up with their
            own copy of the value table cache.
            So when we need to recollect values for our cache, we must notify
            in some way that other workers also have to recollect this table.

        ### Global recollection

        Whenever we recollect a value table, we insert the time of recollection
        in a record in the MongoDb.

        Somewhere at the start of each request, these records will be checked,
        and if needed, recollections will be done before the request processing.

        There is a table `collect`, with records having fields `table` and
        `dateCollected`. After each (re)collect of a table, the `dateCollected` of
        the appropriate record will be set to the current time.

        !!! note "recollect()"
            A `recollect()` without arguments should be done at the start of each
            request.

        !!! note "recollect(table)"
            A `recollect(table)` should be done whenever this worker has changed
            something in that value table.

        Parameters
        ----------
        table: string, optional `None`
            A recollect() without arguments collects *all* value tables that need
            collecting based on the times of change as recorded in the `collect`
            table.

            A recollect of a single table means that this worker has made a change.
            After the recollect, a timestamp will go into the `collect` table,
            so that other workers can pick it up.

            If table is `True`, all timestamps in the `collect` table will be set
            to now, so that each worker will refresh its value cache.
        """

        collected = self.collected

        if table is None:
            affected = set()
            for valueTable in VALUE_TABLES:
                record = self.mongoCmd(
                    N.recollect, N.collect, N.find_one, {RECOLLECT_NAME: valueTable}
                )
                lastChangedGlobally = G(record, RECOLLECT_DATE)
                lastChangedHere = G(collected, valueTable)
                if lastChangedGlobally and (
                    not lastChangedHere or lastChangedHere < lastChangedGlobally
                ):
                    self.cacheValueTable(valueTable)
                    collected[valueTable] = now()
                    affected.add(valueTable)
        elif table is True:
            affected = set()
            for valueTable in VALUE_TABLES:
                self.cacheValueTable(valueTable)
                collected[valueTable] = now()
                affected.add(valueTable)
        else:
            self.cacheValueTable(table)
            collected[table] = now()
            affected = {table}
        if affected:
            justNow = now()
            for aTable in affected:
                self.mongoCmd(
                    N.collect,
                    N.collect,
                    N.update_one,
                    {RECOLLECT_NAME: aTable},
                    {M_SET: {RECOLLECT_DATE: justNow}},
                    upsert=True,
                )

        self.collectActualItems(tables=affected)

        if affected:
            if DEBUG_SYNCH:
                serverprint(f"""COLLECTED {COMMA.join(sorted(affected))}""")

    def collectActualItems(self, tables=None):
        """Determines which items are "actual".

        Actual items are those types and criteria that are specified in a
        package record that is itself actual.
        A package record is actual if the current data is between its start
        and end days.

        !!! caution
            If only value table needs to be collected that are not
            involved in the concept of "actual", nothing will be done.

        Parameters
        ----------
        tables: set of string, optional `None`
        """
        if tables is not None and not (tables & ACTUAL_TABLES):
            return

        justNow = now()

        packageActual = {
            G(record, N._id)
            for record in self.mongoCmd(
                N.collectActualItems,
                N.package,
                N.find,
                {N.startDate: {M_LTE: justNow}, N.endDate: {M_GTE: justNow}},
            )
        }
        for record in self.package.values():
            record[N.actual] = G(record, N._id) in packageActual

        typeActual = set(
            chain.from_iterable(
                G(record, N.typeContribution) or []
                for (_id, record) in self.package.items()
                if _id in packageActual
            )
        )
        for record in self.typeContribution.values():
            record[N.actual] = G(record, N._id) in typeActual

        criteriaActual = {
            _id
            for (_id, record) in self.criteria.items()
            if G(record, N.package) in packageActual
        }
        for record in self.criteria.values():
            record[N.actual] = G(record, N._id) in criteriaActual

        self.typeCriteria = {}
        for (_id, record) in self.criteria.items():
            if _id in criteriaActual:
                for tp in G(record, N.typeContribution) or []:
                    self.typeCriteria.setdefault(tp, set()).add(_id)

        if DEBUG_SYNCH:
            serverprint(f"""UPDATED {", ".join(ACTUAL_TABLES)}""")

    def bulkContribWorkflow(self, countryId, bulk):
        """Collects workflow information in bulk.

        When overviews are being produced, workflow info is needed for a lot
        of records. We do not fetch them one by one, but all in one.

        We use the MongoDB aggregation pipeline to collect the
        contrib ids from the contrib table and to lookup the workflow
        information from the workflow table, and to flatten the nested documents
        to simple key-value pair.

        Parameters
        ----------
        countryId: ObjectId
            If `None`, all workflow items will be fetched.
            Otherwise, this should be
            the id of a countryId, and only the workflow
            for items belonging to this country are fetched.
        bulk: boolean
            If `True`, fetches only records that have been bulk-imported.
            Those records are marked by the presence of the field `import`.
        """
        crit = {} if countryId is None else {"country": countryId}
        if bulk:
            crit["import"] = {M_EX: True}

        project = {
            field: f"${fieldTrans}" for (field, fieldTrans) in OVERVIEW_FIELDS.items()
        }
        project.update(
            {
                field: {M_ELEM: [f"${N.workflow}.{fieldTrans}", 0]}
                for (field, fieldTrans) in OVERVIEW_FIELDS_WF.items()
            }
        )
        records = self.mongoCmd(
            N.bulkContribWorkflow,
            N.contrib,
            N.aggregate,
            [
                {M_MATCH: crit},
                {
                    M_LOOKUP: {
                        "from": N.workflow,
                        N.localField: N._id,
                        N.foreignField: N._id,
                        "as": N.workflow,
                    }
                },
                {M_PROJ: project},
            ],
        )
        return records

    def makeCrit(self, mainTable, conditions):
        """Translate conditons into a MongoDb criterion.

        The conditions come from the options on the interface:
        whether to constrain to items that have assessments and or reviews.

        The result can be fed into an other Mongo query.
        It can also be used to filter a list of record that has already been fetched.

        !!! hint
            `{'assessment': '1'}` means: only those things that have an assessment.

            `'-1'`: means: not having an assessment.

            `'0'`: means: don't care.

        !!! hint
            See also `Db.getList`.

        Parameters
        ----------
        mainTable: string
            The name of the table that is being filtered.
        conditions: dict
            keyed by a table name (such as assessment or review)
            and valued by -1, 0 or 1 (as strings).

        Result
        ------
        dict
            keyed by the same table name as `conditions` and valued by a set of
            mongo ids of items that satisfy the criterion.
            Only for the criteria that do care!
        """
        activeOptions = {
            G(G(OPTIONS, cond), N.table): crit == ONE
            for (cond, crit) in conditions.items()
            if crit == ONE or crit == MINONE
        }
        if None in activeOptions:
            del activeOptions[None]

        criterion = {}
        for (table, crit) in activeOptions.items():
            eids = {
                G(record, mainTable)
                for record in self.mongoCmd(
                    N.makeCrit,
                    table,
                    N.find,
                    {mainTable: {M_EX: True}},
                    {mainTable: True},
                )
            }
            if crit in criterion:
                criterion[crit] |= eids
            else:
                criterion[crit] = eids
        return criterion

    def getList(
        self,
        table,
        titleSort=None,
        my=None,
        our=None,
        assign=False,
        review=None,
        selectable=None,
        unfinished=False,
        select=False,
        **conditions,
    ):
        """Fetch a list of records from a table.

        It fetches all records of a table, but you can constrain
        what is fetched and what is returned in several ways, as specified
        by the optional arguments.

        Some constraints need to fetch more from Mongo than will be returned:
        post-filtering may be needed.


        !!! note
            All records have a field `editors` which contains the ids of users
            that are allowed to edit it besides the creator.

        !!! note
            Assessment records have fields `reviewerE` and `reviewerF` that
            point to the expert reviewer and the final reviewer.

        !!! hint
            `select` and `**conditions` below are used as a consequence of
            the filtering on the interface by the options `assessed` and `reviewed`.
            See also `Db.makeCrit` and `Db.satisfies`.

        Parameters
        ----------
        table: string
            The table from which the record are fetched.
        titleSort: function, optional `None`
            The sort key by which the resulting list of records will be sorted.
            It must be a function that takes a record and returns a key, for example
            the title string of that record.
            If absent or None, records will not be sorted.
        my: ObjectId, optional `None`
            **Task: produce a list of "my" records.**
            If passed, it should be the id of a user (typically the one that is
            logged in).
            Only records that are created/edited by this user will pass through.
        our: ObjectId, optional `None`
            **Task: produce a list of "our" records (coming from my country).**
            If passed, it should be the id of a user (typically the one that is
            logged in).
            Only records that have a country field containing this country id pass
            through.
        unfinished: boolean, optional `False`
            **Task: produce a list of "my" assessments that are unfinished.**
        assign: boolean, optional `False`
            **Task: produce a list of assessments that need reviewers.**
            Only meaningful if the table is `assessment`.
            If `True`, only records that are submitted and who lack at least one
            reviewer pass through.
        review: ObjectId, optional `None`
            **Task: produce a list of assessments that "I" am reviewing or have reviewed.**
            Only meaningful if the table is `assessment`.
            If passed, it should be the id of a user (typically the one that is
            logged in).
            Only records pass that have this user in either their `reviewerE`
            or in their
            `reviewerF` field.
        selectable: ObjectId, optional `None`
            **Task: produce a list of contribs that the current user can select**
            as a DARIAH contribution.
            Only meaningful if the table is `contribution`.
            Pick those contribs whose `selected` field is not yet filled in.
            The value of `selectable` should be an id of a country.
            Typically, this is the country of the currently logged in user,
            and typically, that user is a National Coordinator.
        select: boolean, optional `False`
            **Task: trigger addtional filtering by custom `conditions`.**
        **conditions: dict
            **Task: produce a list of records filtered by custom conditions.**
            If `select`, carry out filtering on the retrieved records, where
            **conditions specify the filtering
            (through `Db.makeCrit` and `Db.satisfies`).

        Returns
        -------
        list
            The result is a sorted list of records.
        """

        crit = {}
        if my:
            crit.update({M_OR: [{N.creator: my}, {N.editors: my}]})
        if our:
            crit.update({N.country: our})
        if assign:
            crit.update(
                {N.submitted: True, M_OR: [{N.reviewerE: None}, {N.reviewerF: None}]}
            )
        if review:
            crit.update({M_OR: [{N.reviewerE: review}, {N.reviewerF: review}]})
        if selectable:
            crit.update({N.country: selectable, N.selected: None})

        if table in VALUE_TABLES:
            records = (
                record
                for record in getattr(self, table, {}).values()
                if (
                    (
                        my is None
                        or G(record, N.creator) == my
                        or my in G(record, N.editors, default=[])
                    )
                    and (our is None or G(record, N.country) == our)
                )
            )
        else:
            records = self.mongoCmd(N.getList, table, N.find, crit)
        if select:
            criterion = self.makeCrit(table, conditions)
            records = (record for record in records if Db.satisfies(record, criterion))
        return records if titleSort is None else sorted(records, key=titleSort)

    def getItem(self, table, eid):
        """Fetch a single record from a table.

        Parameters
        ----------
        table: string
            The table from which the record is fetched.
        eid: ObjectId
            (Entity) ID of the particular record.

        Returns
        -------
        dict
        """
        if not eid:
            return {}

        oid = castObjectId(eid)

        if table in VALUE_TABLES:
            return G(getattr(self, table, {}), oid, default={})

        records = list(self.mongoCmd(N.getItem, table, N.find, {N._id: oid}))
        record = records[0] if len(records) else {}
        return record

    def getWorkflowItem(self, contribId):
        """Fetch a single workflow record.

        Parameters
        ----------
        contribId: ObjectId
            The id of the workflow item to be fetched.

        Returns
        -------
        dict
            The record wrapped in a `control.workflow.apply.WorkflowItem` object.
        """

        if contribId is None:
            return {}

        crit = {N._id: contribId}
        entries = list(self.mongoCmd(N.getWorkflowItem, N.workflow, N.find, crit))
        return entries[0] if entries else {}

    def getDetails(self, table, masterField, eids, sortKey=None):
        """Fetch the detail records connected to one or more master records.

        Parameters
        ----------
        table: string
            The table from which to fetch the detail records.
        masterField: string
            The field in the detail records that points to the master record.
        eids: ObjectId | iterable of ObjectId
            The id(s) of the master record(s).
        sortKey: function, optional `None`
            A function to sort the resulting records.
        """
        if table in VALUE_TABLES:
            crit = eids if isIterable(eids) else [eids]
            details = [
                record
                for record in getattr(self, table, {}).values()
                if G(record, masterField) in crit
            ]
        else:
            crit = {masterField: {M_IN: list(eids)} if isIterable(eids) else eids}
            details = list(self.mongoCmd(N.getDetails, table, N.find, crit))

        return sorted(details, key=sortKey) if sortKey else details

    def getValueRecords(self, valueTable, constrain=None):
        """Fetch records from a value table.

        It will apply some standard and custom constraints.

        The standard constraints are: if the valueTable is

        *   `country`: only the DARIAH member countries will be delivered
        *   `user`: only the non-legacy users will be returned.

        !!! note
            See the tables.yaml configuration has a key, `constrained`,
            which is generated by `config.py` from the field specs of the value tables.
            This collects the cases where the valid choices for a value are not all
            available values in the table, but only those that are linked to a certain
            master record.

        !!! hint
            If you want to pick a score for an assessment criterion, only those scores
            that are linked to that criterion record are eligible.

        Parameters
        ----------
        valueTable: string
            The table from which fetch the records.
        constrain: 2-tuple, optional `None`
            A custom constraint. If present, it should be a tuple `(fieldName, value)`.
            Only records with that value in that field will be delivered.

        Returns
        -------
        list
        """

        records = getattr(self, valueTable, {}).values()
        return list(
            (r for r in records if G(r, N.isMember) or False)
            if valueTable == N.country
            else (r for r in records if G(r, N.authority) != N.legacy)
            if valueTable == N.user
            else (r for r in records if G(r, constrain[0]) == constrain[1])
            if constrain
            else records
        )

    def getValueInv(self, valueTable, constrain):
        """Fetch a mapping from values to ids from a value table.

        The mapping is like the *valueTable*`Inv` attribute of `Db`,
        but with members restricted by a constraint.

        !!! caution
            This only works properly if the valueTable has a field `rep`.

        Parameters
        ----------
        valueTable: string
            The table that contains the records.
        constrain: 2-tuple, optional `None`
            A custom constraint. If present, it should be a tuple `(fieldName, value)`.
            Only records with that value in that field will be delivered.

        Returns
        -------
        dict
            Keyed by values, valued by ids.
        """

        records = (
            r
            for r in getattr(self, valueTable, {}).values()
            if G(r, constrain[0]) == constrain[1]
        )
        eids = {G(r, N._id) for r in records}
        return {
            value: eid
            for (value, eid) in getattr(self, f"""{valueTable}Inv""", {}).items()
            if eid in eids
        }

    def getValueIds(self, valueTable, constrain):
        """Fetch a set of ids from a value table.

        The ids are taken from the value reocrds that satisfy a constraint.
        but with members restricted by a constraint.

        Parameters
        ----------
        valueTable: string
            The table that contains the records.
        constrain: 2-tuple, optional `None`
            A custom constraint. If present, it should be a tuple `(fieldName, value)`.
            Only records with that value in that field will be delivered.

        Returns
        -------
        set of ObjectId
        """

        records = (
            r
            for r in getattr(self, valueTable, {}).values()
            if G(r, constrain[0]) == constrain[1]
        )
        return {G(r, N._id) for r in records}

    def insertItem(self, table, uid, eppn, onlyIfNew, **fields):
        """Inserts a new record in a table, possibly only if it is new.

        The record will be filled with the specified fields, but also with
        provenance fields.

        The provenance fields are the creation date, the creator,
        and the start of the trail of modifiers.

        Parameters
        ----------
        table: string
            The table in which the record will be inserted.
        uid: ObjectId
            The user that creates the record, typically the logged in user.
        onlyIfNew: boolean
            If `True`, it will be checked whether a record with the specified fields
            already exists. If so, no record will be inserted.
        eppn: string
            The eppn of that same user. This is the unique identifier that comes from
            the DARIAH authentication service.
        **fields: dict
            The field names and their contents to populate the new record with.

        Returns
        -------
        ObjectId
            The id of the newly inserted record, or the id of the first existing
            record found, if `onlyIfNew` is true.
        """

        if onlyIfNew:
            existing = [
                G(rec, N._id)
                for rec in getattr(self, table, {}).values()
                if all(G(rec, k) == v for (k, v) in fields.items())
            ]
            if existing:
                return existing[0]

        justNow = now()
        newRecord = {
            N.dateCreated: justNow,
            N.creator: uid,
            N.modified: [MOD_FMT.format(eppn, justNow)],
            **fields,
        }
        result = self.mongoCmd(N.insertItem, table, N.insert_one, newRecord)
        if table in VALUE_TABLES:
            self.recollect(table)
        return result.inserted_id

    def insertMany(self, table, uid, eppn, records):
        """Insert several records at once.

        Typically used for inserting criteriaEntry en reviewEntry records.

        Parameters
        ----------
        table: string
            The table in which the record will be inserted.
        uid: ObjectId
            The user that creates the record, typically the logged in user.
        eppn: string
            The `eppn` of that same user. This is the unique identifier that comes from
            the DARIAH authentication service.
        records: iterable of dict
            The records (as dicts) to insert.
        """

        justNow = now()
        newRecords = [
            {
                N.dateCreated: justNow,
                N.creator: uid,
                N.modified: [MOD_FMT.format(eppn, justNow)],
                **record,
            }
            for record in records
        ]
        self.mongoCmd(N.insertMany, table, N.insert_many, newRecords)

    def insertUser(self, record):
        """Insert a user record, i.e. a record corresponding to a user.

        NB: the creator of this record is the system, by name of the
        `creatorId` attribute.

        Parameters
        ----------
        record: dict
            The user information to be stored, as a dictionary.

        Returns
        -------
        None
            But note that the new _id and the generated field values are added to the
            record.
        """

        creatorId = self.creatorId

        justNow = now()
        record.update(
            {
                N.dateLastLogin: justNow,
                N.statusLastLogin: N.Approved,
                N.mayLogin: True,
                N.creator: creatorId,
                N.dateCreated: justNow,
                N.modified: [MOD_FMT.format(CREATOR, justNow)],
            }
        )
        result = self.mongoCmd(N.insertUser, N.user, N.insert_one, record)
        self.recollect(N.user)
        record[N._id] = result.inserted_id

    def deleteItem(self, table, eid):
        """Delete a record.

        Parameters
        ----------
        table: string
            The table which holds the record to be deleted.
        eid: ObjectId
            (Entity) id of the record to be deleted.

        Returns
        -------
        boolean
            Whether the MongoDB operation was successful
        """

        oid = castObjectId(eid)
        if oid is None:
            return False
        status = self.mongoCmd(N.deleteItem, table, N.delete_one, {N._id: oid})
        if table in VALUE_TABLES:
            self.recollect(table)
        return G(status.raw_result, N.ok, default=False)

    def deleteMany(self, table, crit):
        """Delete a several records.

        Typically used to delete all detail records of another record.

        Parameters
        ----------
        table: string
            The table which holds the records to be deleted.
        crit: dict
            A criterion that specfifies which records must be deleted.
            Given as a dict.
        """

        self.mongoCmd(N.deleteMany, table, N.delete_many, crit)

    def updateField(
        self, table, eid, field, data, actor, modified, nowFields=[],
    ):
        """Update a single field in a single record.

        !!! hint
            Whenever a field is updated in a record which has the field `isPristine`,
            this field will be deleted from the record.
            The rule is that pristine records are the ones that originate from the
            legacy data and have not changed since then.

        Parameters
        ----------
        table: string
            The table which holds the record to be updated.
        eid: ObjectId
            (Entity) id of the record to be updated.
        data: mixed
            The new value of for the updated field.
        actor: ObjectId
            The user that has triggered the update action.
        modified: list of string
            The current provenance trail of the record, which is a list of
            strings of the form "person on date".
            Here "person" is not an ID but a consolidated string representing
            the name of that person.
            The provenance trail will be trimmed in order to prevent excessively long
            trails. On each day, only the last action by each person will be recorded.
        nowFields: iterable of string, optional `[]`
            The names of additional fields in which the current datetime will be stored.
            For exampe, if `submitted` is modified, the current datetime will be saved in
            `dateSubmitted`.

        Returns
        -------
        dict | boolean
            The updated record, if the MongoDb operation was successful, else False
        """

        oid = castObjectId(eid)
        if oid is None:
            return False

        justNow = now()
        newModified = filterModified((modified or []) + [f"""{actor}{ON}{justNow}"""])
        criterion = {N._id: oid}
        nowItems = {nowField: justNow for nowField in nowFields}
        update = {
            field: data,
            N.modified: newModified,
            **nowItems,
        }
        delete = {N.isPristine: E}
        instructions = {
            M_SET: update,
            M_UNSET: delete,
        }

        status = self.mongoCmd(
            N.updateField, table, N.update_one, criterion, instructions
        )
        if not G(status.raw_result, N.ok, default=False):
            return False

        if table in VALUE_TABLES:
            self.recollect(table)
        return (
            update,
            set(delete.keys()),
        )

    def updateUser(self, record):
        """Updates user information.

        When users log in, or when they are assigned an other status,
        some of their attributes will change.

        Parameters
        ----------
        record: dict
            The new user information as a dict.
        """

        if N.isPristine in record:
            del record[N.isPristine]
        justNow = now()
        record.update(
            {
                N.dateLastLogin: justNow,
                N.statusLastLogin: N.Approved,
                N.modified: [MOD_FMT.format(CREATOR, justNow)],
            }
        )
        criterion = {N._id: G(record, N._id)}
        updates = {k: v for (k, v) in record.items() if k != N._id}
        instructions = {M_SET: updates, M_UNSET: {N.isPristine: E}}
        self.mongoCmd(N.updateUser, N.user, N.update_one, criterion, instructions)
        self.recollect(N.user)

    def dependencies(self, table, record):
        """Computes the number of dependent records of a record.

        A record is dependent on another record if one of the fields of the
        dependent record contains an id of that other record.

        Detail records are dependent on master records.
        Also, records that specify a choice in a value table, are dependent on
        the chosen value record.

        Parameters
        ----------
        table: string
            The table in which the record resides of which we want to know the
            dependencies.
        record: dict
            The record, given as dict, of which we want to know the dependencies.

        Returns
        -------
        int
        """

        eid = G(record, N._id)
        if eid is None:
            return {}

        depSpecs = dict(
            reference=G(REFERENCE_SPECS, table, default={}),
            cascade=G(CASCADE_SPECS, table, default={}),
        )
        depResult = {}
        for (depKind, depSpec) in depSpecs.items():
            nDep = 0
            for (referringTable, referringFields) in depSpec.items():
                if not len(referringFields):
                    continue
                fields = list(referringFields)
                crit = (
                    {fields[0]: eid}
                    if len(fields) == 1
                    else {M_OR: [{field: eid} for field in fields]}
                )

                nDep += self.mongoCmd(depKind, referringTable, N.count_documents, crit)
            depResult[depKind] = nDep

        return depResult

    def dropWorkflow(self):
        """Drop the entire workflow table.

        This happens at startup of the server.
        All workflow information will be computed from scratch before the server starts
        serving pages.
        """

        self.mongoCmd(N.dropWorkflow, N.workflow, N.drop)

    def clearWorkflow(self):
        """Clear the entire workflow table.

        The table is not deleted, but all of its records are.
        This happens when the workflow information is reinitialized while the
        webserver remains running, e.g. by command of a sysadmin or office user.
        (Currently this function is not used).
        """

        self.mongoCmd(N.clearWorkflow, N.workflow, N.delete_many, {})

    def entries(self, table, crit={}):
        """Get relevant records from a table as a dictionary of entries.

        Parameters
        ----------
        table: string
            Table from which the entries are taken.
        crit: dict, optional `{}`
            Criteria to select which records should be used.

        !!! hint
            This function is used to collect the records that carry user
            content in order to compute workflow information.

            Its more targeted use is to fetch assessment and review records
            that are relevant to a single contribution.

        Returns
        -------
        dict
            Keyed by the ids of the selected records. The records themselves
            are the values.
        """

        entries = {}
        for record in list(self.mongoCmd(N.entries, table, N.find, crit, FIELD_PROJ)):
            entries[G(record, N._id)] = record

        return entries

    def insertWorkflowMany(self, records):
        """Bulk insert records into the workflow table.

        Parameters
        ----------
        records: iterable of dict
            The records to be inserted.
        """

        self.mongoCmd(N.insertWorkflowMany, N.workflow, N.insert_many, records)

    def insertWorkflow(self, record):
        """Insert a single workflow record.

        Parameters
        ----------
        record: dict
            The record to be inserted, as a dict.
        """

        self.mongoCmd(N.insertWorkflow, N.workflow, N.insert_one, record)

    def updateWorkflow(self, contribId, record):
        """Replace a workflow record by an other one.

        !!! note
            Workflow records have an id that is identical to the id of the contribution
            they are about.

        Parameters
        ----------
        contribId: ObjectId
            The id of the workflow record that has to be replaced with new information.
        record: dict
            The new record which acts as replacement.
        """

        crit = {N._id: contribId}
        self.mongoCmd(N.updateWorkflow, N.workflow, N.replace_one, crit, record)

    def deleteWorkflow(self, contribId):
        """Delete a workflow record.

        Parameters
        ----------
        contribId: ObjectId
            The id of the workflow item to be deleted.
        """

        crit = {N._id: contribId}
        self.mongoCmd(N.deleteWorkflow, N.workflow, N.delete_one, crit)

    @staticmethod
    def satisfies(record, criterion):
        """Test whether a record satifies a criterion.

        !!! hint
            See also `Db.getList`.

        Parameters
        ----------
        record: dict
            A dict of fields.
        criterion: dict
            A dict keyed by a boolean and valued by sets of ids.
            The ids under `True` are the ones that must contain the id of the
            record in question.
            The ids under `False` are the onse that may not contain the id of
            that record.

        Returns
        -------
        boolean
        """

        eid = G(record, N._id)
        for (crit, eids) in criterion.items():
            if crit and eid not in eids or not crit and eid in eids:
                return False
        return True

    @staticmethod
    def inCrit(items):
        """Compiles a list of items into a Monngo DB `$in` criterion.

        Parameters
        ----------
        items: iterable of mixed
            Typically ObjectIds.

        Returns
        -------
        dict
            A MongoDB criterion that tests whether the thing in question is one
            of the items given.
        """

        return {M_IN: list(items)}

Classes

class Db (regime, test=False)

All access to the MongoDb will happen through this class.

It will read all content of all value tables and keep it cached.

The data in the user tables will be cached by the higher level Context, but only per request.

Caution

We start without a Mongo connection. We make connection the first time we need it, and then keep the connection in the mongo attribute. This way, we have a single Mongo connection per worker process, as recommended in PyMongo.

Initialization

Pick up the connection to MongoDb.

Note

Parameters

regime : {"production", "development"}
See below
test : boolean
See below.
Expand source code
class Db:
    """All access to the MongoDb will happen through this class.

    It will read all content of all value tables and keep it cached.

    The data in the user tables will be cached by the higher level
    `control.context.Context`, but only per request.

    !!! caution
        We start without a Mongo connection.
        We make connection the first time we need it, and then keep the
        connection in the `mongo` attribute.
        This way, we have a single Mongo connection per worker process,
        as recommended in
        [PyMongo](https://api.mongodb.com/python/current/faq.html#is-pymongo-fork-safe).
    """

    def __init__(self, regime, test=False):
        """## Initialization

        Pick up the connection to MongoDb.

        !!! note

        Parameters
        ----------
        regime: {"production", "development"}
            See below
        test: boolean
            See below.
        """

        self.regime = regime
        """*string* Whether the app runs in production or in development."""

        self.test = test
        """*boolean* Whether to connect to the test database."""

        database = G(DATABASE, N.test) if test else G(DATABASE, regime)
        self.database = database

        mode = f"""regime = {regime} {"test" if test else E}"""
        if not self.database:
            serverprint(f"""MONGO: no database configured for {mode}""")
            sys.exit(1)

        self.client = None
        """*object* The MongoDb client."""

        self.mongo = None
        """*object* The connection to the MongoDb database.

        The connnection exists before the Db singleton is initialized.
        """

        self.collected = {}
        """*dict* For each value table, the time that this worker last collected it.

        In the database there is a table which holds the last time for each value
        table that a worker updated a value in it.
        """
        self.collect()

        creator = [
            G(record, N._id)
            for record in self.user.values()
            if G(record, N.eppn) == CREATOR
        ]
        if not creator:
            serverprint(f"""DATABASE: no creator user found in {database}.user""")
            sys.exit(1)

        self.creatorId = creator[0]
        """*ObjectId* System user.

        There is a userId, fixed by configuration, that represents the system.
        It is only used when user records are created: those records will said
        to be created by the system.
        """

    def mongoOpen(self):
        """Open connection with MongoDb.

        Which database we open, depends on `Db.regime` and `Db.test`.
        """

        client = self.client
        mongo = self.mongo
        database = self.database

        if not mongo:
            client = MongoClient()
            mongo = client[database]
            self.client = client
            self.mongo = mongo
            serverprint(f"""MONGO: new connection to {database}""")

    def mongoClose(self):
        """Close connection with MongoDb.

        We need this, because before we fork the process to workers,
        all MongoDb connections should be closed.
        """

        client = self.client

        if client:
            client.close()
            self.client = None
            self.mongo = None
            serverprint("""MONGO: connection closed""")

    def mongoCmd(self, label, table, command, *args, **kwargs):
        """Wrapper around calls to MongoDb.

        All commands fired at the NongoDb go through this wrapper.
        It will spit out debug information if mongo debugging is True.

        Parameters
        ----------
        label: string
            A key to be mentioned in debug messages.
            Very convenient to put here the name of the method that calls mongoCmd.
        table: string
            The table in MongoDB that is targeted by the command.
            If the table does not exists, no command will be fired.
        command: string
            The Mongo command to execute.
            The command must be listed in the mongo.yaml config file.
        *args: iterable
            Additional arguments will be passed straight to the Mongo command.

        Returns
        -------
        mixed
            Whatever the the MongoDb returns.
        """

        self.mongoOpen()
        mongo = self.mongo

        method = getattr(mongo[table], command, None) if command in M_COMMANDS else None
        warning = """!UNDEFINED""" if method is None else E
        if DEBUG_MONGO:
            argRep = args[0] if args and args[0] and command in SHOW_ARGS else E
            kwargRep = COMMA.join(f"{k}={v}" for (k, v) in kwargs.items())
            serverprint(
                f"""MONGO<<{label}>>.{table}.{command}{warning}({argRep} {kwargRep})"""
            )
        if method:
            return method(*args, **kwargs)
        return None

    def cacheValueTable(self, valueTable):
        """Caches the contents of a value table.

        The tables will be cached under two attributes:

        the name of the table
        :   dictionary keyed by id and valued by the corresponding record

        the name of the table + `Inv`
        :   dictionary keyed by a key field and valued by the corresponding id.

        Parameters
        ----------
        valueTable: string
            The value table to be cached.
        """

        valueList = list(self.mongoCmd(N.collect, valueTable, N.find))
        repField = (
            N.iso
            if valueTable == N.country
            else N.eppn
            if valueTable == N.user
            else N.rep
        )

        setattr(
            self, valueTable, {G(record, N._id): record for record in valueList},
        )
        setattr(
            self,
            f"""{valueTable}Inv""",
            {G(record, repField): G(record, N._id) for record in valueList},
        )
        if valueTable == N.permissionGroup:
            setattr(
                self,
                f"""{valueTable}Desc""",
                {G(record, repField): G(record, N.description) for record in valueList},
            )

    def collect(self):
        """Collect the contents of the value tables.

        Value tables have content that is needed almost all the time.
        All value tables will be completely cached within Db.

        !!! note
            This is meant to run at start up, before the workers start.
            After that, this worker will not execute it again.
            See also `recollect`.

        !!! warning
            We must take other workers into account. They need a signal
            to recollect. See `recollect`.
            We store the time that this worker has collected each table
            in attribute `collected`.

        !!! caution
            If you change the MongoDb from without, an you forget to
            put an appropriate time stamp, the app will not see it untill it
            is restarted.
            See for example how `root.makeUserRoot` handles this.

        !!! warning
            This is a complicated app.
            Some tables have records that specify whether other records are "actual".
            After collecting a value table, the "actual" items will be recomputed.
        """

        collected = self.collected

        for valueTable in VALUE_TABLES:
            self.cacheValueTable(valueTable)
            collected[valueTable] = now()

        self.collectActualItems()
        if DEBUG_SYNCH:
            serverprint(f"""COLLECTED {COMMA.join(sorted(VALUE_TABLES))}""")

    def recollect(self, table=None):
        """Collect the contents of the value tables if they have changed.

        For each value table it will be checked if they have been
        collected (by another worker) after this worker has started and if so,
        those tables and those tables only will be recollected.

        !!! caution
            Although the initial `collect` is done before workers start
            (`gunicorn --preload`), individual workers will end up with their
            own copy of the value table cache.
            So when we need to recollect values for our cache, we must notify
            in some way that other workers also have to recollect this table.

        ### Global recollection

        Whenever we recollect a value table, we insert the time of recollection
        in a record in the MongoDb.

        Somewhere at the start of each request, these records will be checked,
        and if needed, recollections will be done before the request processing.

        There is a table `collect`, with records having fields `table` and
        `dateCollected`. After each (re)collect of a table, the `dateCollected` of
        the appropriate record will be set to the current time.

        !!! note "recollect()"
            A `recollect()` without arguments should be done at the start of each
            request.

        !!! note "recollect(table)"
            A `recollect(table)` should be done whenever this worker has changed
            something in that value table.

        Parameters
        ----------
        table: string, optional `None`
            A recollect() without arguments collects *all* value tables that need
            collecting based on the times of change as recorded in the `collect`
            table.

            A recollect of a single table means that this worker has made a change.
            After the recollect, a timestamp will go into the `collect` table,
            so that other workers can pick it up.

            If table is `True`, all timestamps in the `collect` table will be set
            to now, so that each worker will refresh its value cache.
        """

        collected = self.collected

        if table is None:
            affected = set()
            for valueTable in VALUE_TABLES:
                record = self.mongoCmd(
                    N.recollect, N.collect, N.find_one, {RECOLLECT_NAME: valueTable}
                )
                lastChangedGlobally = G(record, RECOLLECT_DATE)
                lastChangedHere = G(collected, valueTable)
                if lastChangedGlobally and (
                    not lastChangedHere or lastChangedHere < lastChangedGlobally
                ):
                    self.cacheValueTable(valueTable)
                    collected[valueTable] = now()
                    affected.add(valueTable)
        elif table is True:
            affected = set()
            for valueTable in VALUE_TABLES:
                self.cacheValueTable(valueTable)
                collected[valueTable] = now()
                affected.add(valueTable)
        else:
            self.cacheValueTable(table)
            collected[table] = now()
            affected = {table}
        if affected:
            justNow = now()
            for aTable in affected:
                self.mongoCmd(
                    N.collect,
                    N.collect,
                    N.update_one,
                    {RECOLLECT_NAME: aTable},
                    {M_SET: {RECOLLECT_DATE: justNow}},
                    upsert=True,
                )

        self.collectActualItems(tables=affected)

        if affected:
            if DEBUG_SYNCH:
                serverprint(f"""COLLECTED {COMMA.join(sorted(affected))}""")

    def collectActualItems(self, tables=None):
        """Determines which items are "actual".

        Actual items are those types and criteria that are specified in a
        package record that is itself actual.
        A package record is actual if the current data is between its start
        and end days.

        !!! caution
            If only value table needs to be collected that are not
            involved in the concept of "actual", nothing will be done.

        Parameters
        ----------
        tables: set of string, optional `None`
        """
        if tables is not None and not (tables & ACTUAL_TABLES):
            return

        justNow = now()

        packageActual = {
            G(record, N._id)
            for record in self.mongoCmd(
                N.collectActualItems,
                N.package,
                N.find,
                {N.startDate: {M_LTE: justNow}, N.endDate: {M_GTE: justNow}},
            )
        }
        for record in self.package.values():
            record[N.actual] = G(record, N._id) in packageActual

        typeActual = set(
            chain.from_iterable(
                G(record, N.typeContribution) or []
                for (_id, record) in self.package.items()
                if _id in packageActual
            )
        )
        for record in self.typeContribution.values():
            record[N.actual] = G(record, N._id) in typeActual

        criteriaActual = {
            _id
            for (_id, record) in self.criteria.items()
            if G(record, N.package) in packageActual
        }
        for record in self.criteria.values():
            record[N.actual] = G(record, N._id) in criteriaActual

        self.typeCriteria = {}
        for (_id, record) in self.criteria.items():
            if _id in criteriaActual:
                for tp in G(record, N.typeContribution) or []:
                    self.typeCriteria.setdefault(tp, set()).add(_id)

        if DEBUG_SYNCH:
            serverprint(f"""UPDATED {", ".join(ACTUAL_TABLES)}""")

    def bulkContribWorkflow(self, countryId, bulk):
        """Collects workflow information in bulk.

        When overviews are being produced, workflow info is needed for a lot
        of records. We do not fetch them one by one, but all in one.

        We use the MongoDB aggregation pipeline to collect the
        contrib ids from the contrib table and to lookup the workflow
        information from the workflow table, and to flatten the nested documents
        to simple key-value pair.

        Parameters
        ----------
        countryId: ObjectId
            If `None`, all workflow items will be fetched.
            Otherwise, this should be
            the id of a countryId, and only the workflow
            for items belonging to this country are fetched.
        bulk: boolean
            If `True`, fetches only records that have been bulk-imported.
            Those records are marked by the presence of the field `import`.
        """
        crit = {} if countryId is None else {"country": countryId}
        if bulk:
            crit["import"] = {M_EX: True}

        project = {
            field: f"${fieldTrans}" for (field, fieldTrans) in OVERVIEW_FIELDS.items()
        }
        project.update(
            {
                field: {M_ELEM: [f"${N.workflow}.{fieldTrans}", 0]}
                for (field, fieldTrans) in OVERVIEW_FIELDS_WF.items()
            }
        )
        records = self.mongoCmd(
            N.bulkContribWorkflow,
            N.contrib,
            N.aggregate,
            [
                {M_MATCH: crit},
                {
                    M_LOOKUP: {
                        "from": N.workflow,
                        N.localField: N._id,
                        N.foreignField: N._id,
                        "as": N.workflow,
                    }
                },
                {M_PROJ: project},
            ],
        )
        return records

    def makeCrit(self, mainTable, conditions):
        """Translate conditons into a MongoDb criterion.

        The conditions come from the options on the interface:
        whether to constrain to items that have assessments and or reviews.

        The result can be fed into an other Mongo query.
        It can also be used to filter a list of record that has already been fetched.

        !!! hint
            `{'assessment': '1'}` means: only those things that have an assessment.

            `'-1'`: means: not having an assessment.

            `'0'`: means: don't care.

        !!! hint
            See also `Db.getList`.

        Parameters
        ----------
        mainTable: string
            The name of the table that is being filtered.
        conditions: dict
            keyed by a table name (such as assessment or review)
            and valued by -1, 0 or 1 (as strings).

        Result
        ------
        dict
            keyed by the same table name as `conditions` and valued by a set of
            mongo ids of items that satisfy the criterion.
            Only for the criteria that do care!
        """
        activeOptions = {
            G(G(OPTIONS, cond), N.table): crit == ONE
            for (cond, crit) in conditions.items()
            if crit == ONE or crit == MINONE
        }
        if None in activeOptions:
            del activeOptions[None]

        criterion = {}
        for (table, crit) in activeOptions.items():
            eids = {
                G(record, mainTable)
                for record in self.mongoCmd(
                    N.makeCrit,
                    table,
                    N.find,
                    {mainTable: {M_EX: True}},
                    {mainTable: True},
                )
            }
            if crit in criterion:
                criterion[crit] |= eids
            else:
                criterion[crit] = eids
        return criterion

    def getList(
        self,
        table,
        titleSort=None,
        my=None,
        our=None,
        assign=False,
        review=None,
        selectable=None,
        unfinished=False,
        select=False,
        **conditions,
    ):
        """Fetch a list of records from a table.

        It fetches all records of a table, but you can constrain
        what is fetched and what is returned in several ways, as specified
        by the optional arguments.

        Some constraints need to fetch more from Mongo than will be returned:
        post-filtering may be needed.


        !!! note
            All records have a field `editors` which contains the ids of users
            that are allowed to edit it besides the creator.

        !!! note
            Assessment records have fields `reviewerE` and `reviewerF` that
            point to the expert reviewer and the final reviewer.

        !!! hint
            `select` and `**conditions` below are used as a consequence of
            the filtering on the interface by the options `assessed` and `reviewed`.
            See also `Db.makeCrit` and `Db.satisfies`.

        Parameters
        ----------
        table: string
            The table from which the record are fetched.
        titleSort: function, optional `None`
            The sort key by which the resulting list of records will be sorted.
            It must be a function that takes a record and returns a key, for example
            the title string of that record.
            If absent or None, records will not be sorted.
        my: ObjectId, optional `None`
            **Task: produce a list of "my" records.**
            If passed, it should be the id of a user (typically the one that is
            logged in).
            Only records that are created/edited by this user will pass through.
        our: ObjectId, optional `None`
            **Task: produce a list of "our" records (coming from my country).**
            If passed, it should be the id of a user (typically the one that is
            logged in).
            Only records that have a country field containing this country id pass
            through.
        unfinished: boolean, optional `False`
            **Task: produce a list of "my" assessments that are unfinished.**
        assign: boolean, optional `False`
            **Task: produce a list of assessments that need reviewers.**
            Only meaningful if the table is `assessment`.
            If `True`, only records that are submitted and who lack at least one
            reviewer pass through.
        review: ObjectId, optional `None`
            **Task: produce a list of assessments that "I" am reviewing or have reviewed.**
            Only meaningful if the table is `assessment`.
            If passed, it should be the id of a user (typically the one that is
            logged in).
            Only records pass that have this user in either their `reviewerE`
            or in their
            `reviewerF` field.
        selectable: ObjectId, optional `None`
            **Task: produce a list of contribs that the current user can select**
            as a DARIAH contribution.
            Only meaningful if the table is `contribution`.
            Pick those contribs whose `selected` field is not yet filled in.
            The value of `selectable` should be an id of a country.
            Typically, this is the country of the currently logged in user,
            and typically, that user is a National Coordinator.
        select: boolean, optional `False`
            **Task: trigger addtional filtering by custom `conditions`.**
        **conditions: dict
            **Task: produce a list of records filtered by custom conditions.**
            If `select`, carry out filtering on the retrieved records, where
            **conditions specify the filtering
            (through `Db.makeCrit` and `Db.satisfies`).

        Returns
        -------
        list
            The result is a sorted list of records.
        """

        crit = {}
        if my:
            crit.update({M_OR: [{N.creator: my}, {N.editors: my}]})
        if our:
            crit.update({N.country: our})
        if assign:
            crit.update(
                {N.submitted: True, M_OR: [{N.reviewerE: None}, {N.reviewerF: None}]}
            )
        if review:
            crit.update({M_OR: [{N.reviewerE: review}, {N.reviewerF: review}]})
        if selectable:
            crit.update({N.country: selectable, N.selected: None})

        if table in VALUE_TABLES:
            records = (
                record
                for record in getattr(self, table, {}).values()
                if (
                    (
                        my is None
                        or G(record, N.creator) == my
                        or my in G(record, N.editors, default=[])
                    )
                    and (our is None or G(record, N.country) == our)
                )
            )
        else:
            records = self.mongoCmd(N.getList, table, N.find, crit)
        if select:
            criterion = self.makeCrit(table, conditions)
            records = (record for record in records if Db.satisfies(record, criterion))
        return records if titleSort is None else sorted(records, key=titleSort)

    def getItem(self, table, eid):
        """Fetch a single record from a table.

        Parameters
        ----------
        table: string
            The table from which the record is fetched.
        eid: ObjectId
            (Entity) ID of the particular record.

        Returns
        -------
        dict
        """
        if not eid:
            return {}

        oid = castObjectId(eid)

        if table in VALUE_TABLES:
            return G(getattr(self, table, {}), oid, default={})

        records = list(self.mongoCmd(N.getItem, table, N.find, {N._id: oid}))
        record = records[0] if len(records) else {}
        return record

    def getWorkflowItem(self, contribId):
        """Fetch a single workflow record.

        Parameters
        ----------
        contribId: ObjectId
            The id of the workflow item to be fetched.

        Returns
        -------
        dict
            The record wrapped in a `control.workflow.apply.WorkflowItem` object.
        """

        if contribId is None:
            return {}

        crit = {N._id: contribId}
        entries = list(self.mongoCmd(N.getWorkflowItem, N.workflow, N.find, crit))
        return entries[0] if entries else {}

    def getDetails(self, table, masterField, eids, sortKey=None):
        """Fetch the detail records connected to one or more master records.

        Parameters
        ----------
        table: string
            The table from which to fetch the detail records.
        masterField: string
            The field in the detail records that points to the master record.
        eids: ObjectId | iterable of ObjectId
            The id(s) of the master record(s).
        sortKey: function, optional `None`
            A function to sort the resulting records.
        """
        if table in VALUE_TABLES:
            crit = eids if isIterable(eids) else [eids]
            details = [
                record
                for record in getattr(self, table, {}).values()
                if G(record, masterField) in crit
            ]
        else:
            crit = {masterField: {M_IN: list(eids)} if isIterable(eids) else eids}
            details = list(self.mongoCmd(N.getDetails, table, N.find, crit))

        return sorted(details, key=sortKey) if sortKey else details

    def getValueRecords(self, valueTable, constrain=None):
        """Fetch records from a value table.

        It will apply some standard and custom constraints.

        The standard constraints are: if the valueTable is

        *   `country`: only the DARIAH member countries will be delivered
        *   `user`: only the non-legacy users will be returned.

        !!! note
            See the tables.yaml configuration has a key, `constrained`,
            which is generated by `config.py` from the field specs of the value tables.
            This collects the cases where the valid choices for a value are not all
            available values in the table, but only those that are linked to a certain
            master record.

        !!! hint
            If you want to pick a score for an assessment criterion, only those scores
            that are linked to that criterion record are eligible.

        Parameters
        ----------
        valueTable: string
            The table from which fetch the records.
        constrain: 2-tuple, optional `None`
            A custom constraint. If present, it should be a tuple `(fieldName, value)`.
            Only records with that value in that field will be delivered.

        Returns
        -------
        list
        """

        records = getattr(self, valueTable, {}).values()
        return list(
            (r for r in records if G(r, N.isMember) or False)
            if valueTable == N.country
            else (r for r in records if G(r, N.authority) != N.legacy)
            if valueTable == N.user
            else (r for r in records if G(r, constrain[0]) == constrain[1])
            if constrain
            else records
        )

    def getValueInv(self, valueTable, constrain):
        """Fetch a mapping from values to ids from a value table.

        The mapping is like the *valueTable*`Inv` attribute of `Db`,
        but with members restricted by a constraint.

        !!! caution
            This only works properly if the valueTable has a field `rep`.

        Parameters
        ----------
        valueTable: string
            The table that contains the records.
        constrain: 2-tuple, optional `None`
            A custom constraint. If present, it should be a tuple `(fieldName, value)`.
            Only records with that value in that field will be delivered.

        Returns
        -------
        dict
            Keyed by values, valued by ids.
        """

        records = (
            r
            for r in getattr(self, valueTable, {}).values()
            if G(r, constrain[0]) == constrain[1]
        )
        eids = {G(r, N._id) for r in records}
        return {
            value: eid
            for (value, eid) in getattr(self, f"""{valueTable}Inv""", {}).items()
            if eid in eids
        }

    def getValueIds(self, valueTable, constrain):
        """Fetch a set of ids from a value table.

        The ids are taken from the value reocrds that satisfy a constraint.
        but with members restricted by a constraint.

        Parameters
        ----------
        valueTable: string
            The table that contains the records.
        constrain: 2-tuple, optional `None`
            A custom constraint. If present, it should be a tuple `(fieldName, value)`.
            Only records with that value in that field will be delivered.

        Returns
        -------
        set of ObjectId
        """

        records = (
            r
            for r in getattr(self, valueTable, {}).values()
            if G(r, constrain[0]) == constrain[1]
        )
        return {G(r, N._id) for r in records}

    def insertItem(self, table, uid, eppn, onlyIfNew, **fields):
        """Inserts a new record in a table, possibly only if it is new.

        The record will be filled with the specified fields, but also with
        provenance fields.

        The provenance fields are the creation date, the creator,
        and the start of the trail of modifiers.

        Parameters
        ----------
        table: string
            The table in which the record will be inserted.
        uid: ObjectId
            The user that creates the record, typically the logged in user.
        onlyIfNew: boolean
            If `True`, it will be checked whether a record with the specified fields
            already exists. If so, no record will be inserted.
        eppn: string
            The eppn of that same user. This is the unique identifier that comes from
            the DARIAH authentication service.
        **fields: dict
            The field names and their contents to populate the new record with.

        Returns
        -------
        ObjectId
            The id of the newly inserted record, or the id of the first existing
            record found, if `onlyIfNew` is true.
        """

        if onlyIfNew:
            existing = [
                G(rec, N._id)
                for rec in getattr(self, table, {}).values()
                if all(G(rec, k) == v for (k, v) in fields.items())
            ]
            if existing:
                return existing[0]

        justNow = now()
        newRecord = {
            N.dateCreated: justNow,
            N.creator: uid,
            N.modified: [MOD_FMT.format(eppn, justNow)],
            **fields,
        }
        result = self.mongoCmd(N.insertItem, table, N.insert_one, newRecord)
        if table in VALUE_TABLES:
            self.recollect(table)
        return result.inserted_id

    def insertMany(self, table, uid, eppn, records):
        """Insert several records at once.

        Typically used for inserting criteriaEntry en reviewEntry records.

        Parameters
        ----------
        table: string
            The table in which the record will be inserted.
        uid: ObjectId
            The user that creates the record, typically the logged in user.
        eppn: string
            The `eppn` of that same user. This is the unique identifier that comes from
            the DARIAH authentication service.
        records: iterable of dict
            The records (as dicts) to insert.
        """

        justNow = now()
        newRecords = [
            {
                N.dateCreated: justNow,
                N.creator: uid,
                N.modified: [MOD_FMT.format(eppn, justNow)],
                **record,
            }
            for record in records
        ]
        self.mongoCmd(N.insertMany, table, N.insert_many, newRecords)

    def insertUser(self, record):
        """Insert a user record, i.e. a record corresponding to a user.

        NB: the creator of this record is the system, by name of the
        `creatorId` attribute.

        Parameters
        ----------
        record: dict
            The user information to be stored, as a dictionary.

        Returns
        -------
        None
            But note that the new _id and the generated field values are added to the
            record.
        """

        creatorId = self.creatorId

        justNow = now()
        record.update(
            {
                N.dateLastLogin: justNow,
                N.statusLastLogin: N.Approved,
                N.mayLogin: True,
                N.creator: creatorId,
                N.dateCreated: justNow,
                N.modified: [MOD_FMT.format(CREATOR, justNow)],
            }
        )
        result = self.mongoCmd(N.insertUser, N.user, N.insert_one, record)
        self.recollect(N.user)
        record[N._id] = result.inserted_id

    def deleteItem(self, table, eid):
        """Delete a record.

        Parameters
        ----------
        table: string
            The table which holds the record to be deleted.
        eid: ObjectId
            (Entity) id of the record to be deleted.

        Returns
        -------
        boolean
            Whether the MongoDB operation was successful
        """

        oid = castObjectId(eid)
        if oid is None:
            return False
        status = self.mongoCmd(N.deleteItem, table, N.delete_one, {N._id: oid})
        if table in VALUE_TABLES:
            self.recollect(table)
        return G(status.raw_result, N.ok, default=False)

    def deleteMany(self, table, crit):
        """Delete a several records.

        Typically used to delete all detail records of another record.

        Parameters
        ----------
        table: string
            The table which holds the records to be deleted.
        crit: dict
            A criterion that specfifies which records must be deleted.
            Given as a dict.
        """

        self.mongoCmd(N.deleteMany, table, N.delete_many, crit)

    def updateField(
        self, table, eid, field, data, actor, modified, nowFields=[],
    ):
        """Update a single field in a single record.

        !!! hint
            Whenever a field is updated in a record which has the field `isPristine`,
            this field will be deleted from the record.
            The rule is that pristine records are the ones that originate from the
            legacy data and have not changed since then.

        Parameters
        ----------
        table: string
            The table which holds the record to be updated.
        eid: ObjectId
            (Entity) id of the record to be updated.
        data: mixed
            The new value of for the updated field.
        actor: ObjectId
            The user that has triggered the update action.
        modified: list of string
            The current provenance trail of the record, which is a list of
            strings of the form "person on date".
            Here "person" is not an ID but a consolidated string representing
            the name of that person.
            The provenance trail will be trimmed in order to prevent excessively long
            trails. On each day, only the last action by each person will be recorded.
        nowFields: iterable of string, optional `[]`
            The names of additional fields in which the current datetime will be stored.
            For exampe, if `submitted` is modified, the current datetime will be saved in
            `dateSubmitted`.

        Returns
        -------
        dict | boolean
            The updated record, if the MongoDb operation was successful, else False
        """

        oid = castObjectId(eid)
        if oid is None:
            return False

        justNow = now()
        newModified = filterModified((modified or []) + [f"""{actor}{ON}{justNow}"""])
        criterion = {N._id: oid}
        nowItems = {nowField: justNow for nowField in nowFields}
        update = {
            field: data,
            N.modified: newModified,
            **nowItems,
        }
        delete = {N.isPristine: E}
        instructions = {
            M_SET: update,
            M_UNSET: delete,
        }

        status = self.mongoCmd(
            N.updateField, table, N.update_one, criterion, instructions
        )
        if not G(status.raw_result, N.ok, default=False):
            return False

        if table in VALUE_TABLES:
            self.recollect(table)
        return (
            update,
            set(delete.keys()),
        )

    def updateUser(self, record):
        """Updates user information.

        When users log in, or when they are assigned an other status,
        some of their attributes will change.

        Parameters
        ----------
        record: dict
            The new user information as a dict.
        """

        if N.isPristine in record:
            del record[N.isPristine]
        justNow = now()
        record.update(
            {
                N.dateLastLogin: justNow,
                N.statusLastLogin: N.Approved,
                N.modified: [MOD_FMT.format(CREATOR, justNow)],
            }
        )
        criterion = {N._id: G(record, N._id)}
        updates = {k: v for (k, v) in record.items() if k != N._id}
        instructions = {M_SET: updates, M_UNSET: {N.isPristine: E}}
        self.mongoCmd(N.updateUser, N.user, N.update_one, criterion, instructions)
        self.recollect(N.user)

    def dependencies(self, table, record):
        """Computes the number of dependent records of a record.

        A record is dependent on another record if one of the fields of the
        dependent record contains an id of that other record.

        Detail records are dependent on master records.
        Also, records that specify a choice in a value table, are dependent on
        the chosen value record.

        Parameters
        ----------
        table: string
            The table in which the record resides of which we want to know the
            dependencies.
        record: dict
            The record, given as dict, of which we want to know the dependencies.

        Returns
        -------
        int
        """

        eid = G(record, N._id)
        if eid is None:
            return {}

        depSpecs = dict(
            reference=G(REFERENCE_SPECS, table, default={}),
            cascade=G(CASCADE_SPECS, table, default={}),
        )
        depResult = {}
        for (depKind, depSpec) in depSpecs.items():
            nDep = 0
            for (referringTable, referringFields) in depSpec.items():
                if not len(referringFields):
                    continue
                fields = list(referringFields)
                crit = (
                    {fields[0]: eid}
                    if len(fields) == 1
                    else {M_OR: [{field: eid} for field in fields]}
                )

                nDep += self.mongoCmd(depKind, referringTable, N.count_documents, crit)
            depResult[depKind] = nDep

        return depResult

    def dropWorkflow(self):
        """Drop the entire workflow table.

        This happens at startup of the server.
        All workflow information will be computed from scratch before the server starts
        serving pages.
        """

        self.mongoCmd(N.dropWorkflow, N.workflow, N.drop)

    def clearWorkflow(self):
        """Clear the entire workflow table.

        The table is not deleted, but all of its records are.
        This happens when the workflow information is reinitialized while the
        webserver remains running, e.g. by command of a sysadmin or office user.
        (Currently this function is not used).
        """

        self.mongoCmd(N.clearWorkflow, N.workflow, N.delete_many, {})

    def entries(self, table, crit={}):
        """Get relevant records from a table as a dictionary of entries.

        Parameters
        ----------
        table: string
            Table from which the entries are taken.
        crit: dict, optional `{}`
            Criteria to select which records should be used.

        !!! hint
            This function is used to collect the records that carry user
            content in order to compute workflow information.

            Its more targeted use is to fetch assessment and review records
            that are relevant to a single contribution.

        Returns
        -------
        dict
            Keyed by the ids of the selected records. The records themselves
            are the values.
        """

        entries = {}
        for record in list(self.mongoCmd(N.entries, table, N.find, crit, FIELD_PROJ)):
            entries[G(record, N._id)] = record

        return entries

    def insertWorkflowMany(self, records):
        """Bulk insert records into the workflow table.

        Parameters
        ----------
        records: iterable of dict
            The records to be inserted.
        """

        self.mongoCmd(N.insertWorkflowMany, N.workflow, N.insert_many, records)

    def insertWorkflow(self, record):
        """Insert a single workflow record.

        Parameters
        ----------
        record: dict
            The record to be inserted, as a dict.
        """

        self.mongoCmd(N.insertWorkflow, N.workflow, N.insert_one, record)

    def updateWorkflow(self, contribId, record):
        """Replace a workflow record by an other one.

        !!! note
            Workflow records have an id that is identical to the id of the contribution
            they are about.

        Parameters
        ----------
        contribId: ObjectId
            The id of the workflow record that has to be replaced with new information.
        record: dict
            The new record which acts as replacement.
        """

        crit = {N._id: contribId}
        self.mongoCmd(N.updateWorkflow, N.workflow, N.replace_one, crit, record)

    def deleteWorkflow(self, contribId):
        """Delete a workflow record.

        Parameters
        ----------
        contribId: ObjectId
            The id of the workflow item to be deleted.
        """

        crit = {N._id: contribId}
        self.mongoCmd(N.deleteWorkflow, N.workflow, N.delete_one, crit)

    @staticmethod
    def satisfies(record, criterion):
        """Test whether a record satifies a criterion.

        !!! hint
            See also `Db.getList`.

        Parameters
        ----------
        record: dict
            A dict of fields.
        criterion: dict
            A dict keyed by a boolean and valued by sets of ids.
            The ids under `True` are the ones that must contain the id of the
            record in question.
            The ids under `False` are the onse that may not contain the id of
            that record.

        Returns
        -------
        boolean
        """

        eid = G(record, N._id)
        for (crit, eids) in criterion.items():
            if crit and eid not in eids or not crit and eid in eids:
                return False
        return True

    @staticmethod
    def inCrit(items):
        """Compiles a list of items into a Monngo DB `$in` criterion.

        Parameters
        ----------
        items: iterable of mixed
            Typically ObjectIds.

        Returns
        -------
        dict
            A MongoDB criterion that tests whether the thing in question is one
            of the items given.
        """

        return {M_IN: list(items)}

Static methods

def inCrit(items)

Compiles a list of items into a Monngo DB $in criterion.

Parameters

items : iterable of mixed
Typically ObjectIds.

Returns

dict
A MongoDB criterion that tests whether the thing in question is one of the items given.
Expand source code
@staticmethod
def inCrit(items):
    """Compiles a list of items into a Monngo DB `$in` criterion.

    Parameters
    ----------
    items: iterable of mixed
        Typically ObjectIds.

    Returns
    -------
    dict
        A MongoDB criterion that tests whether the thing in question is one
        of the items given.
    """

    return {M_IN: list(items)}
def satisfies(record, criterion)

Test whether a record satifies a criterion.

Hint

See also Db.getList().

Parameters

record : dict
A dict of fields.
criterion : dict
A dict keyed by a boolean and valued by sets of ids. The ids under True are the ones that must contain the id of the record in question. The ids under False are the onse that may not contain the id of that record.

Returns

boolean
 
Expand source code
@staticmethod
def satisfies(record, criterion):
    """Test whether a record satifies a criterion.

    !!! hint
        See also `Db.getList`.

    Parameters
    ----------
    record: dict
        A dict of fields.
    criterion: dict
        A dict keyed by a boolean and valued by sets of ids.
        The ids under `True` are the ones that must contain the id of the
        record in question.
        The ids under `False` are the onse that may not contain the id of
        that record.

    Returns
    -------
    boolean
    """

    eid = G(record, N._id)
    for (crit, eids) in criterion.items():
        if crit and eid not in eids or not crit and eid in eids:
            return False
    return True

Instance variables

var client

object The MongoDb client.

var collected

dict For each value table, the time that this worker last collected it.

In the database there is a table which holds the last time for each value table that a worker updated a value in it.

var creatorId

ObjectId System user.

There is a userId, fixed by configuration, that represents the system. It is only used when user records are created: those records will said to be created by the system.

var mongo

object The connection to the MongoDb database.

The connnection exists before the Db singleton is initialized.

var regime

string Whether the app runs in production or in development.

var test

boolean Whether to connect to the test database.

Methods

def bulkContribWorkflow(self, countryId, bulk)

Collects workflow information in bulk.

When overviews are being produced, workflow info is needed for a lot of records. We do not fetch them one by one, but all in one.

We use the MongoDB aggregation pipeline to collect the contrib ids from the contrib table and to lookup the workflow information from the workflow table, and to flatten the nested documents to simple key-value pair.

Parameters

countryId : ObjectId
If None, all workflow items will be fetched. Otherwise, this should be the id of a countryId, and only the workflow for items belonging to this country are fetched.
bulk : boolean
If True, fetches only records that have been bulk-imported. Those records are marked by the presence of the field import.
Expand source code
def bulkContribWorkflow(self, countryId, bulk):
    """Collects workflow information in bulk.

    When overviews are being produced, workflow info is needed for a lot
    of records. We do not fetch them one by one, but all in one.

    We use the MongoDB aggregation pipeline to collect the
    contrib ids from the contrib table and to lookup the workflow
    information from the workflow table, and to flatten the nested documents
    to simple key-value pair.

    Parameters
    ----------
    countryId: ObjectId
        If `None`, all workflow items will be fetched.
        Otherwise, this should be
        the id of a countryId, and only the workflow
        for items belonging to this country are fetched.
    bulk: boolean
        If `True`, fetches only records that have been bulk-imported.
        Those records are marked by the presence of the field `import`.
    """
    crit = {} if countryId is None else {"country": countryId}
    if bulk:
        crit["import"] = {M_EX: True}

    project = {
        field: f"${fieldTrans}" for (field, fieldTrans) in OVERVIEW_FIELDS.items()
    }
    project.update(
        {
            field: {M_ELEM: [f"${N.workflow}.{fieldTrans}", 0]}
            for (field, fieldTrans) in OVERVIEW_FIELDS_WF.items()
        }
    )
    records = self.mongoCmd(
        N.bulkContribWorkflow,
        N.contrib,
        N.aggregate,
        [
            {M_MATCH: crit},
            {
                M_LOOKUP: {
                    "from": N.workflow,
                    N.localField: N._id,
                    N.foreignField: N._id,
                    "as": N.workflow,
                }
            },
            {M_PROJ: project},
        ],
    )
    return records
def cacheValueTable(self, valueTable)

Caches the contents of a value table.

The tables will be cached under two attributes:

the name of the table
dictionary keyed by id and valued by the corresponding record
the name of the table + Inv
dictionary keyed by a key field and valued by the corresponding id.

Parameters

valueTable : string
The value table to be cached.
Expand source code
def cacheValueTable(self, valueTable):
    """Caches the contents of a value table.

    The tables will be cached under two attributes:

    the name of the table
    :   dictionary keyed by id and valued by the corresponding record

    the name of the table + `Inv`
    :   dictionary keyed by a key field and valued by the corresponding id.

    Parameters
    ----------
    valueTable: string
        The value table to be cached.
    """

    valueList = list(self.mongoCmd(N.collect, valueTable, N.find))
    repField = (
        N.iso
        if valueTable == N.country
        else N.eppn
        if valueTable == N.user
        else N.rep
    )

    setattr(
        self, valueTable, {G(record, N._id): record for record in valueList},
    )
    setattr(
        self,
        f"""{valueTable}Inv""",
        {G(record, repField): G(record, N._id) for record in valueList},
    )
    if valueTable == N.permissionGroup:
        setattr(
            self,
            f"""{valueTable}Desc""",
            {G(record, repField): G(record, N.description) for record in valueList},
        )
def clearWorkflow(self)

Clear the entire workflow table.

The table is not deleted, but all of its records are. This happens when the workflow information is reinitialized while the webserver remains running, e.g. by command of a sysadmin or office user. (Currently this function is not used).

Expand source code
def clearWorkflow(self):
    """Clear the entire workflow table.

    The table is not deleted, but all of its records are.
    This happens when the workflow information is reinitialized while the
    webserver remains running, e.g. by command of a sysadmin or office user.
    (Currently this function is not used).
    """

    self.mongoCmd(N.clearWorkflow, N.workflow, N.delete_many, {})
def collect(self)

Collect the contents of the value tables.

Value tables have content that is needed almost all the time. All value tables will be completely cached within Db.

Note

This is meant to run at start up, before the workers start. After that, this worker will not execute it again. See also recollect.

Warning

We must take other workers into account. They need a signal to recollect. See recollect. We store the time that this worker has collected each table in attribute collected.

Caution

If you change the MongoDb from without, an you forget to put an appropriate time stamp, the app will not see it untill it is restarted. See for example how root.makeUserRoot handles this.

Warning

This is a complicated app. Some tables have records that specify whether other records are "actual". After collecting a value table, the "actual" items will be recomputed.

Expand source code
def collect(self):
    """Collect the contents of the value tables.

    Value tables have content that is needed almost all the time.
    All value tables will be completely cached within Db.

    !!! note
        This is meant to run at start up, before the workers start.
        After that, this worker will not execute it again.
        See also `recollect`.

    !!! warning
        We must take other workers into account. They need a signal
        to recollect. See `recollect`.
        We store the time that this worker has collected each table
        in attribute `collected`.

    !!! caution
        If you change the MongoDb from without, an you forget to
        put an appropriate time stamp, the app will not see it untill it
        is restarted.
        See for example how `root.makeUserRoot` handles this.

    !!! warning
        This is a complicated app.
        Some tables have records that specify whether other records are "actual".
        After collecting a value table, the "actual" items will be recomputed.
    """

    collected = self.collected

    for valueTable in VALUE_TABLES:
        self.cacheValueTable(valueTable)
        collected[valueTable] = now()

    self.collectActualItems()
    if DEBUG_SYNCH:
        serverprint(f"""COLLECTED {COMMA.join(sorted(VALUE_TABLES))}""")
def collectActualItems(self, tables=None)

Determines which items are "actual".

Actual items are those types and criteria that are specified in a package record that is itself actual. A package record is actual if the current data is between its start and end days.

Caution

If only value table needs to be collected that are not involved in the concept of "actual", nothing will be done.

Parameters

tables : set of string, optional None
 
Expand source code
def collectActualItems(self, tables=None):
    """Determines which items are "actual".

    Actual items are those types and criteria that are specified in a
    package record that is itself actual.
    A package record is actual if the current data is between its start
    and end days.

    !!! caution
        If only value table needs to be collected that are not
        involved in the concept of "actual", nothing will be done.

    Parameters
    ----------
    tables: set of string, optional `None`
    """
    if tables is not None and not (tables & ACTUAL_TABLES):
        return

    justNow = now()

    packageActual = {
        G(record, N._id)
        for record in self.mongoCmd(
            N.collectActualItems,
            N.package,
            N.find,
            {N.startDate: {M_LTE: justNow}, N.endDate: {M_GTE: justNow}},
        )
    }
    for record in self.package.values():
        record[N.actual] = G(record, N._id) in packageActual

    typeActual = set(
        chain.from_iterable(
            G(record, N.typeContribution) or []
            for (_id, record) in self.package.items()
            if _id in packageActual
        )
    )
    for record in self.typeContribution.values():
        record[N.actual] = G(record, N._id) in typeActual

    criteriaActual = {
        _id
        for (_id, record) in self.criteria.items()
        if G(record, N.package) in packageActual
    }
    for record in self.criteria.values():
        record[N.actual] = G(record, N._id) in criteriaActual

    self.typeCriteria = {}
    for (_id, record) in self.criteria.items():
        if _id in criteriaActual:
            for tp in G(record, N.typeContribution) or []:
                self.typeCriteria.setdefault(tp, set()).add(_id)

    if DEBUG_SYNCH:
        serverprint(f"""UPDATED {", ".join(ACTUAL_TABLES)}""")
def deleteItem(self, table, eid)

Delete a record.

Parameters

table : string
The table which holds the record to be deleted.
eid : ObjectId
(Entity) id of the record to be deleted.

Returns

boolean
Whether the MongoDB operation was successful
Expand source code
def deleteItem(self, table, eid):
    """Delete a record.

    Parameters
    ----------
    table: string
        The table which holds the record to be deleted.
    eid: ObjectId
        (Entity) id of the record to be deleted.

    Returns
    -------
    boolean
        Whether the MongoDB operation was successful
    """

    oid = castObjectId(eid)
    if oid is None:
        return False
    status = self.mongoCmd(N.deleteItem, table, N.delete_one, {N._id: oid})
    if table in VALUE_TABLES:
        self.recollect(table)
    return G(status.raw_result, N.ok, default=False)
def deleteMany(self, table, crit)

Delete a several records.

Typically used to delete all detail records of another record.

Parameters

table : string
The table which holds the records to be deleted.
crit : dict
A criterion that specfifies which records must be deleted. Given as a dict.
Expand source code
def deleteMany(self, table, crit):
    """Delete a several records.

    Typically used to delete all detail records of another record.

    Parameters
    ----------
    table: string
        The table which holds the records to be deleted.
    crit: dict
        A criterion that specfifies which records must be deleted.
        Given as a dict.
    """

    self.mongoCmd(N.deleteMany, table, N.delete_many, crit)
def deleteWorkflow(self, contribId)

Delete a workflow record.

Parameters

contribId : ObjectId
The id of the workflow item to be deleted.
Expand source code
def deleteWorkflow(self, contribId):
    """Delete a workflow record.

    Parameters
    ----------
    contribId: ObjectId
        The id of the workflow item to be deleted.
    """

    crit = {N._id: contribId}
    self.mongoCmd(N.deleteWorkflow, N.workflow, N.delete_one, crit)
def dependencies(self, table, record)

Computes the number of dependent records of a record.

A record is dependent on another record if one of the fields of the dependent record contains an id of that other record.

Detail records are dependent on master records. Also, records that specify a choice in a value table, are dependent on the chosen value record.

Parameters

table : string
The table in which the record resides of which we want to know the dependencies.
record : dict
The record, given as dict, of which we want to know the dependencies.

Returns

int
 
Expand source code
def dependencies(self, table, record):
    """Computes the number of dependent records of a record.

    A record is dependent on another record if one of the fields of the
    dependent record contains an id of that other record.

    Detail records are dependent on master records.
    Also, records that specify a choice in a value table, are dependent on
    the chosen value record.

    Parameters
    ----------
    table: string
        The table in which the record resides of which we want to know the
        dependencies.
    record: dict
        The record, given as dict, of which we want to know the dependencies.

    Returns
    -------
    int
    """

    eid = G(record, N._id)
    if eid is None:
        return {}

    depSpecs = dict(
        reference=G(REFERENCE_SPECS, table, default={}),
        cascade=G(CASCADE_SPECS, table, default={}),
    )
    depResult = {}
    for (depKind, depSpec) in depSpecs.items():
        nDep = 0
        for (referringTable, referringFields) in depSpec.items():
            if not len(referringFields):
                continue
            fields = list(referringFields)
            crit = (
                {fields[0]: eid}
                if len(fields) == 1
                else {M_OR: [{field: eid} for field in fields]}
            )

            nDep += self.mongoCmd(depKind, referringTable, N.count_documents, crit)
        depResult[depKind] = nDep

    return depResult
def dropWorkflow(self)

Drop the entire workflow table.

This happens at startup of the server. All workflow information will be computed from scratch before the server starts serving pages.

Expand source code
def dropWorkflow(self):
    """Drop the entire workflow table.

    This happens at startup of the server.
    All workflow information will be computed from scratch before the server starts
    serving pages.
    """

    self.mongoCmd(N.dropWorkflow, N.workflow, N.drop)
def entries(self, table, crit={})

Get relevant records from a table as a dictionary of entries.

Parameters

table : string
Table from which the entries are taken.
crit : dict, optional {}
Criteria to select which records should be used.

Hint

This function is used to collect the records that carry user content in order to compute workflow information.

Its more targeted use is to fetch assessment and review records that are relevant to a single contribution.

Returns

dict
Keyed by the ids of the selected records. The records themselves are the values.
Expand source code
def entries(self, table, crit={}):
    """Get relevant records from a table as a dictionary of entries.

    Parameters
    ----------
    table: string
        Table from which the entries are taken.
    crit: dict, optional `{}`
        Criteria to select which records should be used.

    !!! hint
        This function is used to collect the records that carry user
        content in order to compute workflow information.

        Its more targeted use is to fetch assessment and review records
        that are relevant to a single contribution.

    Returns
    -------
    dict
        Keyed by the ids of the selected records. The records themselves
        are the values.
    """

    entries = {}
    for record in list(self.mongoCmd(N.entries, table, N.find, crit, FIELD_PROJ)):
        entries[G(record, N._id)] = record

    return entries
def getDetails(self, table, masterField, eids, sortKey=None)

Fetch the detail records connected to one or more master records.

Parameters

table : string
The table from which to fetch the detail records.
masterField : string
The field in the detail records that points to the master record.
eids : ObjectId | iterable of ObjectId
The id(s) of the master record(s).
sortKey : function, optional None
A function to sort the resulting records.
Expand source code
def getDetails(self, table, masterField, eids, sortKey=None):
    """Fetch the detail records connected to one or more master records.

    Parameters
    ----------
    table: string
        The table from which to fetch the detail records.
    masterField: string
        The field in the detail records that points to the master record.
    eids: ObjectId | iterable of ObjectId
        The id(s) of the master record(s).
    sortKey: function, optional `None`
        A function to sort the resulting records.
    """
    if table in VALUE_TABLES:
        crit = eids if isIterable(eids) else [eids]
        details = [
            record
            for record in getattr(self, table, {}).values()
            if G(record, masterField) in crit
        ]
    else:
        crit = {masterField: {M_IN: list(eids)} if isIterable(eids) else eids}
        details = list(self.mongoCmd(N.getDetails, table, N.find, crit))

    return sorted(details, key=sortKey) if sortKey else details
def getItem(self, table, eid)

Fetch a single record from a table.

Parameters

table : string
The table from which the record is fetched.
eid : ObjectId
(Entity) ID of the particular record.

Returns

dict
 
Expand source code
def getItem(self, table, eid):
    """Fetch a single record from a table.

    Parameters
    ----------
    table: string
        The table from which the record is fetched.
    eid: ObjectId
        (Entity) ID of the particular record.

    Returns
    -------
    dict
    """
    if not eid:
        return {}

    oid = castObjectId(eid)

    if table in VALUE_TABLES:
        return G(getattr(self, table, {}), oid, default={})

    records = list(self.mongoCmd(N.getItem, table, N.find, {N._id: oid}))
    record = records[0] if len(records) else {}
    return record
def getList(self, table, titleSort=None, my=None, our=None, assign=False, review=None, selectable=None, unfinished=False, select=False, **conditions)

Fetch a list of records from a table.

It fetches all records of a table, but you can constrain what is fetched and what is returned in several ways, as specified by the optional arguments.

Some constraints need to fetch more from Mongo than will be returned: post-filtering may be needed.

Note

All records have a field editors which contains the ids of users that are allowed to edit it besides the creator.

Note

Assessment records have fields reviewerE and reviewerF that point to the expert reviewer and the final reviewer.

Hint

select and **conditions below are used as a consequence of the filtering on the interface by the options assessed and reviewed. See also Db.makeCrit() and Db.satisfies().

Parameters

table : string
The table from which the record are fetched.
titleSort : function, optional None
The sort key by which the resulting list of records will be sorted. It must be a function that takes a record and returns a key, for example the title string of that record. If absent or None, records will not be sorted.
my : ObjectId, optional None
Task: produce a list of "my" records. If passed, it should be the id of a user (typically the one that is logged in). Only records that are created/edited by this user will pass through.
our : ObjectId, optional None
Task: produce a list of "our" records (coming from my country). If passed, it should be the id of a user (typically the one that is logged in). Only records that have a country field containing this country id pass through.
unfinished : boolean, optional False
Task: produce a list of "my" assessments that are unfinished.
assign : boolean, optional False
Task: produce a list of assessments that need reviewers. Only meaningful if the table is assessment. If True, only records that are submitted and who lack at least one reviewer pass through.
review : ObjectId, optional None
Task: produce a list of assessments that "I" am reviewing or have reviewed. Only meaningful if the table is assessment. If passed, it should be the id of a user (typically the one that is logged in). Only records pass that have this user in either their reviewerE or in their reviewerF field.
selectable : ObjectId, optional None
Task: produce a list of contribs that the current user can select as a DARIAH contribution. Only meaningful if the table is contribution. Pick those contribs whose selected field is not yet filled in. The value of selectable should be an id of a country. Typically, this is the country of the currently logged in user, and typically, that user is a National Coordinator.
select : boolean, optional False
Task: trigger addtional filtering by custom conditions.
**conditions : dict
Task: produce a list of records filtered by custom conditions. If select, carry out filtering on the retrieved records, where **conditions specify the filtering (through Db.makeCrit() and Db.satisfies()).

Returns

list
The result is a sorted list of records.
Expand source code
def getList(
    self,
    table,
    titleSort=None,
    my=None,
    our=None,
    assign=False,
    review=None,
    selectable=None,
    unfinished=False,
    select=False,
    **conditions,
):
    """Fetch a list of records from a table.

    It fetches all records of a table, but you can constrain
    what is fetched and what is returned in several ways, as specified
    by the optional arguments.

    Some constraints need to fetch more from Mongo than will be returned:
    post-filtering may be needed.


    !!! note
        All records have a field `editors` which contains the ids of users
        that are allowed to edit it besides the creator.

    !!! note
        Assessment records have fields `reviewerE` and `reviewerF` that
        point to the expert reviewer and the final reviewer.

    !!! hint
        `select` and `**conditions` below are used as a consequence of
        the filtering on the interface by the options `assessed` and `reviewed`.
        See also `Db.makeCrit` and `Db.satisfies`.

    Parameters
    ----------
    table: string
        The table from which the record are fetched.
    titleSort: function, optional `None`
        The sort key by which the resulting list of records will be sorted.
        It must be a function that takes a record and returns a key, for example
        the title string of that record.
        If absent or None, records will not be sorted.
    my: ObjectId, optional `None`
        **Task: produce a list of "my" records.**
        If passed, it should be the id of a user (typically the one that is
        logged in).
        Only records that are created/edited by this user will pass through.
    our: ObjectId, optional `None`
        **Task: produce a list of "our" records (coming from my country).**
        If passed, it should be the id of a user (typically the one that is
        logged in).
        Only records that have a country field containing this country id pass
        through.
    unfinished: boolean, optional `False`
        **Task: produce a list of "my" assessments that are unfinished.**
    assign: boolean, optional `False`
        **Task: produce a list of assessments that need reviewers.**
        Only meaningful if the table is `assessment`.
        If `True`, only records that are submitted and who lack at least one
        reviewer pass through.
    review: ObjectId, optional `None`
        **Task: produce a list of assessments that "I" am reviewing or have reviewed.**
        Only meaningful if the table is `assessment`.
        If passed, it should be the id of a user (typically the one that is
        logged in).
        Only records pass that have this user in either their `reviewerE`
        or in their
        `reviewerF` field.
    selectable: ObjectId, optional `None`
        **Task: produce a list of contribs that the current user can select**
        as a DARIAH contribution.
        Only meaningful if the table is `contribution`.
        Pick those contribs whose `selected` field is not yet filled in.
        The value of `selectable` should be an id of a country.
        Typically, this is the country of the currently logged in user,
        and typically, that user is a National Coordinator.
    select: boolean, optional `False`
        **Task: trigger addtional filtering by custom `conditions`.**
    **conditions: dict
        **Task: produce a list of records filtered by custom conditions.**
        If `select`, carry out filtering on the retrieved records, where
        **conditions specify the filtering
        (through `Db.makeCrit` and `Db.satisfies`).

    Returns
    -------
    list
        The result is a sorted list of records.
    """

    crit = {}
    if my:
        crit.update({M_OR: [{N.creator: my}, {N.editors: my}]})
    if our:
        crit.update({N.country: our})
    if assign:
        crit.update(
            {N.submitted: True, M_OR: [{N.reviewerE: None}, {N.reviewerF: None}]}
        )
    if review:
        crit.update({M_OR: [{N.reviewerE: review}, {N.reviewerF: review}]})
    if selectable:
        crit.update({N.country: selectable, N.selected: None})

    if table in VALUE_TABLES:
        records = (
            record
            for record in getattr(self, table, {}).values()
            if (
                (
                    my is None
                    or G(record, N.creator) == my
                    or my in G(record, N.editors, default=[])
                )
                and (our is None or G(record, N.country) == our)
            )
        )
    else:
        records = self.mongoCmd(N.getList, table, N.find, crit)
    if select:
        criterion = self.makeCrit(table, conditions)
        records = (record for record in records if Db.satisfies(record, criterion))
    return records if titleSort is None else sorted(records, key=titleSort)
def getValueIds(self, valueTable, constrain)

Fetch a set of ids from a value table.

The ids are taken from the value reocrds that satisfy a constraint. but with members restricted by a constraint.

Parameters

valueTable : string
The table that contains the records.
constrain : 2-tuple, optional None
A custom constraint. If present, it should be a tuple (fieldName, value). Only records with that value in that field will be delivered.

Returns

set of ObjectId
 
Expand source code
def getValueIds(self, valueTable, constrain):
    """Fetch a set of ids from a value table.

    The ids are taken from the value reocrds that satisfy a constraint.
    but with members restricted by a constraint.

    Parameters
    ----------
    valueTable: string
        The table that contains the records.
    constrain: 2-tuple, optional `None`
        A custom constraint. If present, it should be a tuple `(fieldName, value)`.
        Only records with that value in that field will be delivered.

    Returns
    -------
    set of ObjectId
    """

    records = (
        r
        for r in getattr(self, valueTable, {}).values()
        if G(r, constrain[0]) == constrain[1]
    )
    return {G(r, N._id) for r in records}
def getValueInv(self, valueTable, constrain)

Fetch a mapping from values to ids from a value table.

The mapping is like the valueTableInv attribute of Db, but with members restricted by a constraint.

Caution

This only works properly if the valueTable has a field rep.

Parameters

valueTable : string
The table that contains the records.
constrain : 2-tuple, optional None
A custom constraint. If present, it should be a tuple (fieldName, value). Only records with that value in that field will be delivered.

Returns

dict
Keyed by values, valued by ids.
Expand source code
def getValueInv(self, valueTable, constrain):
    """Fetch a mapping from values to ids from a value table.

    The mapping is like the *valueTable*`Inv` attribute of `Db`,
    but with members restricted by a constraint.

    !!! caution
        This only works properly if the valueTable has a field `rep`.

    Parameters
    ----------
    valueTable: string
        The table that contains the records.
    constrain: 2-tuple, optional `None`
        A custom constraint. If present, it should be a tuple `(fieldName, value)`.
        Only records with that value in that field will be delivered.

    Returns
    -------
    dict
        Keyed by values, valued by ids.
    """

    records = (
        r
        for r in getattr(self, valueTable, {}).values()
        if G(r, constrain[0]) == constrain[1]
    )
    eids = {G(r, N._id) for r in records}
    return {
        value: eid
        for (value, eid) in getattr(self, f"""{valueTable}Inv""", {}).items()
        if eid in eids
    }
def getValueRecords(self, valueTable, constrain=None)

Fetch records from a value table.

It will apply some standard and custom constraints.

The standard constraints are: if the valueTable is

  • country: only the DARIAH member countries will be delivered
  • user: only the non-legacy users will be returned.

Note

See the tables.yaml configuration has a key, constrained, which is generated by config.py from the field specs of the value tables. This collects the cases where the valid choices for a value are not all available values in the table, but only those that are linked to a certain master record.

Hint

If you want to pick a score for an assessment criterion, only those scores that are linked to that criterion record are eligible.

Parameters

valueTable : string
The table from which fetch the records.
constrain : 2-tuple, optional None
A custom constraint. If present, it should be a tuple (fieldName, value). Only records with that value in that field will be delivered.

Returns

list
 
Expand source code
def getValueRecords(self, valueTable, constrain=None):
    """Fetch records from a value table.

    It will apply some standard and custom constraints.

    The standard constraints are: if the valueTable is

    *   `country`: only the DARIAH member countries will be delivered
    *   `user`: only the non-legacy users will be returned.

    !!! note
        See the tables.yaml configuration has a key, `constrained`,
        which is generated by `config.py` from the field specs of the value tables.
        This collects the cases where the valid choices for a value are not all
        available values in the table, but only those that are linked to a certain
        master record.

    !!! hint
        If you want to pick a score for an assessment criterion, only those scores
        that are linked to that criterion record are eligible.

    Parameters
    ----------
    valueTable: string
        The table from which fetch the records.
    constrain: 2-tuple, optional `None`
        A custom constraint. If present, it should be a tuple `(fieldName, value)`.
        Only records with that value in that field will be delivered.

    Returns
    -------
    list
    """

    records = getattr(self, valueTable, {}).values()
    return list(
        (r for r in records if G(r, N.isMember) or False)
        if valueTable == N.country
        else (r for r in records if G(r, N.authority) != N.legacy)
        if valueTable == N.user
        else (r for r in records if G(r, constrain[0]) == constrain[1])
        if constrain
        else records
    )
def getWorkflowItem(self, contribId)

Fetch a single workflow record.

Parameters

contribId : ObjectId
The id of the workflow item to be fetched.

Returns

dict
The record wrapped in a WorkflowItem object.
Expand source code
def getWorkflowItem(self, contribId):
    """Fetch a single workflow record.

    Parameters
    ----------
    contribId: ObjectId
        The id of the workflow item to be fetched.

    Returns
    -------
    dict
        The record wrapped in a `control.workflow.apply.WorkflowItem` object.
    """

    if contribId is None:
        return {}

    crit = {N._id: contribId}
    entries = list(self.mongoCmd(N.getWorkflowItem, N.workflow, N.find, crit))
    return entries[0] if entries else {}
def insertItem(self, table, uid, eppn, onlyIfNew, **fields)

Inserts a new record in a table, possibly only if it is new.

The record will be filled with the specified fields, but also with provenance fields.

The provenance fields are the creation date, the creator, and the start of the trail of modifiers.

Parameters

table : string
The table in which the record will be inserted.
uid : ObjectId
The user that creates the record, typically the logged in user.
onlyIfNew : boolean
If True, it will be checked whether a record with the specified fields already exists. If so, no record will be inserted.
eppn : string
The eppn of that same user. This is the unique identifier that comes from the DARIAH authentication service.
**fields : dict
The field names and their contents to populate the new record with.

Returns

ObjectId
The id of the newly inserted record, or the id of the first existing record found, if onlyIfNew is true.
Expand source code
def insertItem(self, table, uid, eppn, onlyIfNew, **fields):
    """Inserts a new record in a table, possibly only if it is new.

    The record will be filled with the specified fields, but also with
    provenance fields.

    The provenance fields are the creation date, the creator,
    and the start of the trail of modifiers.

    Parameters
    ----------
    table: string
        The table in which the record will be inserted.
    uid: ObjectId
        The user that creates the record, typically the logged in user.
    onlyIfNew: boolean
        If `True`, it will be checked whether a record with the specified fields
        already exists. If so, no record will be inserted.
    eppn: string
        The eppn of that same user. This is the unique identifier that comes from
        the DARIAH authentication service.
    **fields: dict
        The field names and their contents to populate the new record with.

    Returns
    -------
    ObjectId
        The id of the newly inserted record, or the id of the first existing
        record found, if `onlyIfNew` is true.
    """

    if onlyIfNew:
        existing = [
            G(rec, N._id)
            for rec in getattr(self, table, {}).values()
            if all(G(rec, k) == v for (k, v) in fields.items())
        ]
        if existing:
            return existing[0]

    justNow = now()
    newRecord = {
        N.dateCreated: justNow,
        N.creator: uid,
        N.modified: [MOD_FMT.format(eppn, justNow)],
        **fields,
    }
    result = self.mongoCmd(N.insertItem, table, N.insert_one, newRecord)
    if table in VALUE_TABLES:
        self.recollect(table)
    return result.inserted_id
def insertMany(self, table, uid, eppn, records)

Insert several records at once.

Typically used for inserting criteriaEntry en reviewEntry records.

Parameters

table : string
The table in which the record will be inserted.
uid : ObjectId
The user that creates the record, typically the logged in user.
eppn : string
The eppn of that same user. This is the unique identifier that comes from the DARIAH authentication service.
records : iterable of dict
The records (as dicts) to insert.
Expand source code
def insertMany(self, table, uid, eppn, records):
    """Insert several records at once.

    Typically used for inserting criteriaEntry en reviewEntry records.

    Parameters
    ----------
    table: string
        The table in which the record will be inserted.
    uid: ObjectId
        The user that creates the record, typically the logged in user.
    eppn: string
        The `eppn` of that same user. This is the unique identifier that comes from
        the DARIAH authentication service.
    records: iterable of dict
        The records (as dicts) to insert.
    """

    justNow = now()
    newRecords = [
        {
            N.dateCreated: justNow,
            N.creator: uid,
            N.modified: [MOD_FMT.format(eppn, justNow)],
            **record,
        }
        for record in records
    ]
    self.mongoCmd(N.insertMany, table, N.insert_many, newRecords)
def insertUser(self, record)

Insert a user record, i.e. a record corresponding to a user.

NB: the creator of this record is the system, by name of the creatorId attribute.

Parameters

record : dict
The user information to be stored, as a dictionary.

Returns

None
But note that the new _id and the generated field values are added to the record.
Expand source code
def insertUser(self, record):
    """Insert a user record, i.e. a record corresponding to a user.

    NB: the creator of this record is the system, by name of the
    `creatorId` attribute.

    Parameters
    ----------
    record: dict
        The user information to be stored, as a dictionary.

    Returns
    -------
    None
        But note that the new _id and the generated field values are added to the
        record.
    """

    creatorId = self.creatorId

    justNow = now()
    record.update(
        {
            N.dateLastLogin: justNow,
            N.statusLastLogin: N.Approved,
            N.mayLogin: True,
            N.creator: creatorId,
            N.dateCreated: justNow,
            N.modified: [MOD_FMT.format(CREATOR, justNow)],
        }
    )
    result = self.mongoCmd(N.insertUser, N.user, N.insert_one, record)
    self.recollect(N.user)
    record[N._id] = result.inserted_id
def insertWorkflow(self, record)

Insert a single workflow record.

Parameters

record : dict
The record to be inserted, as a dict.
Expand source code
def insertWorkflow(self, record):
    """Insert a single workflow record.

    Parameters
    ----------
    record: dict
        The record to be inserted, as a dict.
    """

    self.mongoCmd(N.insertWorkflow, N.workflow, N.insert_one, record)
def insertWorkflowMany(self, records)

Bulk insert records into the workflow table.

Parameters

records : iterable of dict
The records to be inserted.
Expand source code
def insertWorkflowMany(self, records):
    """Bulk insert records into the workflow table.

    Parameters
    ----------
    records: iterable of dict
        The records to be inserted.
    """

    self.mongoCmd(N.insertWorkflowMany, N.workflow, N.insert_many, records)
def makeCrit(self, mainTable, conditions)

Translate conditons into a MongoDb criterion.

The conditions come from the options on the interface: whether to constrain to items that have assessments and or reviews.

The result can be fed into an other Mongo query. It can also be used to filter a list of record that has already been fetched.

Hint

{'assessment': '1'} means: only those things that have an assessment.

'-1': means: not having an assessment.

'0': means: don't care.

Hint

See also Db.getList().

Parameters

mainTable : string
The name of the table that is being filtered.
conditions : dict
keyed by a table name (such as assessment or review) and valued by -1, 0 or 1 (as strings).

Result

dict keyed by the same table name as conditions and valued by a set of mongo ids of items that satisfy the criterion. Only for the criteria that do care!

Expand source code
def makeCrit(self, mainTable, conditions):
    """Translate conditons into a MongoDb criterion.

    The conditions come from the options on the interface:
    whether to constrain to items that have assessments and or reviews.

    The result can be fed into an other Mongo query.
    It can also be used to filter a list of record that has already been fetched.

    !!! hint
        `{'assessment': '1'}` means: only those things that have an assessment.

        `'-1'`: means: not having an assessment.

        `'0'`: means: don't care.

    !!! hint
        See also `Db.getList`.

    Parameters
    ----------
    mainTable: string
        The name of the table that is being filtered.
    conditions: dict
        keyed by a table name (such as assessment or review)
        and valued by -1, 0 or 1 (as strings).

    Result
    ------
    dict
        keyed by the same table name as `conditions` and valued by a set of
        mongo ids of items that satisfy the criterion.
        Only for the criteria that do care!
    """
    activeOptions = {
        G(G(OPTIONS, cond), N.table): crit == ONE
        for (cond, crit) in conditions.items()
        if crit == ONE or crit == MINONE
    }
    if None in activeOptions:
        del activeOptions[None]

    criterion = {}
    for (table, crit) in activeOptions.items():
        eids = {
            G(record, mainTable)
            for record in self.mongoCmd(
                N.makeCrit,
                table,
                N.find,
                {mainTable: {M_EX: True}},
                {mainTable: True},
            )
        }
        if crit in criterion:
            criterion[crit] |= eids
        else:
            criterion[crit] = eids
    return criterion
def mongoClose(self)

Close connection with MongoDb.

We need this, because before we fork the process to workers, all MongoDb connections should be closed.

Expand source code
def mongoClose(self):
    """Close connection with MongoDb.

    We need this, because before we fork the process to workers,
    all MongoDb connections should be closed.
    """

    client = self.client

    if client:
        client.close()
        self.client = None
        self.mongo = None
        serverprint("""MONGO: connection closed""")
def mongoCmd(self, label, table, command, *args, **kwargs)

Wrapper around calls to MongoDb.

All commands fired at the NongoDb go through this wrapper. It will spit out debug information if mongo debugging is True.

Parameters

label : string
A key to be mentioned in debug messages. Very convenient to put here the name of the method that calls mongoCmd.
table : string
The table in MongoDB that is targeted by the command. If the table does not exists, no command will be fired.
command : string
The Mongo command to execute. The command must be listed in the mongo.yaml config file.
*args : iterable
Additional arguments will be passed straight to the Mongo command.

Returns

mixed
Whatever the the MongoDb returns.
Expand source code
def mongoCmd(self, label, table, command, *args, **kwargs):
    """Wrapper around calls to MongoDb.

    All commands fired at the NongoDb go through this wrapper.
    It will spit out debug information if mongo debugging is True.

    Parameters
    ----------
    label: string
        A key to be mentioned in debug messages.
        Very convenient to put here the name of the method that calls mongoCmd.
    table: string
        The table in MongoDB that is targeted by the command.
        If the table does not exists, no command will be fired.
    command: string
        The Mongo command to execute.
        The command must be listed in the mongo.yaml config file.
    *args: iterable
        Additional arguments will be passed straight to the Mongo command.

    Returns
    -------
    mixed
        Whatever the the MongoDb returns.
    """

    self.mongoOpen()
    mongo = self.mongo

    method = getattr(mongo[table], command, None) if command in M_COMMANDS else None
    warning = """!UNDEFINED""" if method is None else E
    if DEBUG_MONGO:
        argRep = args[0] if args and args[0] and command in SHOW_ARGS else E
        kwargRep = COMMA.join(f"{k}={v}" for (k, v) in kwargs.items())
        serverprint(
            f"""MONGO<<{label}>>.{table}.{command}{warning}({argRep} {kwargRep})"""
        )
    if method:
        return method(*args, **kwargs)
    return None
def mongoOpen(self)

Open connection with MongoDb.

Which database we open, depends on Db.regime and Db.test.

Expand source code
def mongoOpen(self):
    """Open connection with MongoDb.

    Which database we open, depends on `Db.regime` and `Db.test`.
    """

    client = self.client
    mongo = self.mongo
    database = self.database

    if not mongo:
        client = MongoClient()
        mongo = client[database]
        self.client = client
        self.mongo = mongo
        serverprint(f"""MONGO: new connection to {database}""")
def recollect(self, table=None)

Collect the contents of the value tables if they have changed.

For each value table it will be checked if they have been collected (by another worker) after this worker has started and if so, those tables and those tables only will be recollected.

Caution

Although the initial collect is done before workers start (gunicorn --preload), individual workers will end up with their own copy of the value table cache. So when we need to recollect values for our cache, we must notify in some way that other workers also have to recollect this table.

Global recollection

Whenever we recollect a value table, we insert the time of recollection in a record in the MongoDb.

Somewhere at the start of each request, these records will be checked, and if needed, recollections will be done before the request processing.

There is a table collect, with records having fields table and dateCollected. After each (re)collect of a table, the dateCollected of the appropriate record will be set to the current time.

recollect()

A recollect() without arguments should be done at the start of each request.

recollect(table)

A recollect(table) should be done whenever this worker has changed something in that value table.

Parameters

table : string, optional None

A recollect() without arguments collects all value tables that need collecting based on the times of change as recorded in the collect table.

A recollect of a single table means that this worker has made a change. After the recollect, a timestamp will go into the collect table, so that other workers can pick it up.

If table is True, all timestamps in the collect table will be set to now, so that each worker will refresh its value cache.

Expand source code
def recollect(self, table=None):
    """Collect the contents of the value tables if they have changed.

    For each value table it will be checked if they have been
    collected (by another worker) after this worker has started and if so,
    those tables and those tables only will be recollected.

    !!! caution
        Although the initial `collect` is done before workers start
        (`gunicorn --preload`), individual workers will end up with their
        own copy of the value table cache.
        So when we need to recollect values for our cache, we must notify
        in some way that other workers also have to recollect this table.

    ### Global recollection

    Whenever we recollect a value table, we insert the time of recollection
    in a record in the MongoDb.

    Somewhere at the start of each request, these records will be checked,
    and if needed, recollections will be done before the request processing.

    There is a table `collect`, with records having fields `table` and
    `dateCollected`. After each (re)collect of a table, the `dateCollected` of
    the appropriate record will be set to the current time.

    !!! note "recollect()"
        A `recollect()` without arguments should be done at the start of each
        request.

    !!! note "recollect(table)"
        A `recollect(table)` should be done whenever this worker has changed
        something in that value table.

    Parameters
    ----------
    table: string, optional `None`
        A recollect() without arguments collects *all* value tables that need
        collecting based on the times of change as recorded in the `collect`
        table.

        A recollect of a single table means that this worker has made a change.
        After the recollect, a timestamp will go into the `collect` table,
        so that other workers can pick it up.

        If table is `True`, all timestamps in the `collect` table will be set
        to now, so that each worker will refresh its value cache.
    """

    collected = self.collected

    if table is None:
        affected = set()
        for valueTable in VALUE_TABLES:
            record = self.mongoCmd(
                N.recollect, N.collect, N.find_one, {RECOLLECT_NAME: valueTable}
            )
            lastChangedGlobally = G(record, RECOLLECT_DATE)
            lastChangedHere = G(collected, valueTable)
            if lastChangedGlobally and (
                not lastChangedHere or lastChangedHere < lastChangedGlobally
            ):
                self.cacheValueTable(valueTable)
                collected[valueTable] = now()
                affected.add(valueTable)
    elif table is True:
        affected = set()
        for valueTable in VALUE_TABLES:
            self.cacheValueTable(valueTable)
            collected[valueTable] = now()
            affected.add(valueTable)
    else:
        self.cacheValueTable(table)
        collected[table] = now()
        affected = {table}
    if affected:
        justNow = now()
        for aTable in affected:
            self.mongoCmd(
                N.collect,
                N.collect,
                N.update_one,
                {RECOLLECT_NAME: aTable},
                {M_SET: {RECOLLECT_DATE: justNow}},
                upsert=True,
            )

    self.collectActualItems(tables=affected)

    if affected:
        if DEBUG_SYNCH:
            serverprint(f"""COLLECTED {COMMA.join(sorted(affected))}""")
def updateField(self, table, eid, field, data, actor, modified, nowFields=[])

Update a single field in a single record.

Hint

Whenever a field is updated in a record which has the field isPristine, this field will be deleted from the record. The rule is that pristine records are the ones that originate from the legacy data and have not changed since then.

Parameters

table : string
The table which holds the record to be updated.
eid : ObjectId
(Entity) id of the record to be updated.
data : mixed
The new value of for the updated field.
actor : ObjectId
The user that has triggered the update action.
modified : list of string
The current provenance trail of the record, which is a list of strings of the form "person on date". Here "person" is not an ID but a consolidated string representing the name of that person. The provenance trail will be trimmed in order to prevent excessively long trails. On each day, only the last action by each person will be recorded.
nowFields : iterable of string, optional []
The names of additional fields in which the current datetime will be stored. For exampe, if submitted is modified, the current datetime will be saved in dateSubmitted.

Returns

dict | boolean
The updated record, if the MongoDb operation was successful, else False
Expand source code
def updateField(
    self, table, eid, field, data, actor, modified, nowFields=[],
):
    """Update a single field in a single record.

    !!! hint
        Whenever a field is updated in a record which has the field `isPristine`,
        this field will be deleted from the record.
        The rule is that pristine records are the ones that originate from the
        legacy data and have not changed since then.

    Parameters
    ----------
    table: string
        The table which holds the record to be updated.
    eid: ObjectId
        (Entity) id of the record to be updated.
    data: mixed
        The new value of for the updated field.
    actor: ObjectId
        The user that has triggered the update action.
    modified: list of string
        The current provenance trail of the record, which is a list of
        strings of the form "person on date".
        Here "person" is not an ID but a consolidated string representing
        the name of that person.
        The provenance trail will be trimmed in order to prevent excessively long
        trails. On each day, only the last action by each person will be recorded.
    nowFields: iterable of string, optional `[]`
        The names of additional fields in which the current datetime will be stored.
        For exampe, if `submitted` is modified, the current datetime will be saved in
        `dateSubmitted`.

    Returns
    -------
    dict | boolean
        The updated record, if the MongoDb operation was successful, else False
    """

    oid = castObjectId(eid)
    if oid is None:
        return False

    justNow = now()
    newModified = filterModified((modified or []) + [f"""{actor}{ON}{justNow}"""])
    criterion = {N._id: oid}
    nowItems = {nowField: justNow for nowField in nowFields}
    update = {
        field: data,
        N.modified: newModified,
        **nowItems,
    }
    delete = {N.isPristine: E}
    instructions = {
        M_SET: update,
        M_UNSET: delete,
    }

    status = self.mongoCmd(
        N.updateField, table, N.update_one, criterion, instructions
    )
    if not G(status.raw_result, N.ok, default=False):
        return False

    if table in VALUE_TABLES:
        self.recollect(table)
    return (
        update,
        set(delete.keys()),
    )
def updateUser(self, record)

Updates user information.

When users log in, or when they are assigned an other status, some of their attributes will change.

Parameters

record : dict
The new user information as a dict.
Expand source code
def updateUser(self, record):
    """Updates user information.

    When users log in, or when they are assigned an other status,
    some of their attributes will change.

    Parameters
    ----------
    record: dict
        The new user information as a dict.
    """

    if N.isPristine in record:
        del record[N.isPristine]
    justNow = now()
    record.update(
        {
            N.dateLastLogin: justNow,
            N.statusLastLogin: N.Approved,
            N.modified: [MOD_FMT.format(CREATOR, justNow)],
        }
    )
    criterion = {N._id: G(record, N._id)}
    updates = {k: v for (k, v) in record.items() if k != N._id}
    instructions = {M_SET: updates, M_UNSET: {N.isPristine: E}}
    self.mongoCmd(N.updateUser, N.user, N.update_one, criterion, instructions)
    self.recollect(N.user)
def updateWorkflow(self, contribId, record)

Replace a workflow record by an other one.

Note

Workflow records have an id that is identical to the id of the contribution they are about.

Parameters

contribId : ObjectId
The id of the workflow record that has to be replaced with new information.
record : dict
The new record which acts as replacement.
Expand source code
def updateWorkflow(self, contribId, record):
    """Replace a workflow record by an other one.

    !!! note
        Workflow records have an id that is identical to the id of the contribution
        they are about.

    Parameters
    ----------
    contribId: ObjectId
        The id of the workflow record that has to be replaced with new information.
    record: dict
        The new record which acts as replacement.
    """

    crit = {N._id: contribId}
    self.mongoCmd(N.updateWorkflow, N.workflow, N.replace_one, crit, record)