Module tf.volumes.extract

Extract

Usage

from tf.volumes import extract
extract(
  workLocation,
  volumesLocation,
  volumes=None or dict of top-level section titles/numbers
)
Expand source code Browse git
"""
# Extract

## Usage

``` python
from tf.volumes import extract
extract(
  workLocation,
  volumesLocation,
  volumes=None or dict of top-level section titles/numbers
)
```

"""

import collections

from ..parameters import OTYPE, OSLOTS, OWORK, OINTERF, OINTERT
from ..core.fabric import FabricCore
from ..core.timestamp import Timestamp, SILENT_D, DEEP, silentConvert
from ..core.helpers import getAllRealFeatures, console
from ..core.files import (
    fileOpen,
    unexpanduser as ux,
    dirEmpty,
    isFile,
    isDir,
    dirRemove,
    scanDir,
)

DEBUG = False
OWORKI = "oworki"
ALLSLOTS = "allSlots"

TM = Timestamp()
indent = TM.indent
info = TM.info
warning = TM.warning
error = TM.error
setSilent = TM.setSilent
isSilent = TM.isSilent


def getVolumes(volumesLocation):
    """Lists volumes of a work that exist in a given directory.

    A directory is a volume if it contains the file `otype.tf` and that file
    has a line starting with `@volume=`*xxx* where *xxx* is the name of the directory.

    Parameters
    ----------
    volumesLocation: string
        The directory to search for volumes.

    Returns
    -------
    None or list
        If `volumesLocation` does not exist or is not a directory, None
        is returned. Otherwise a list of subdirectories that are modules.
    """

    if not isDir(volumesLocation):
        return None

    volumes = []

    with scanDir(volumesLocation) as dh:
        for entry in dh:
            vol = entry.name
            if entry.is_dir() and not vol.startswith("."):
                triggerFile = f"{volumesLocation}/{vol}/{OTYPE}.tf"
                triggerLine = f"@volume={vol}\n"
                if isFile(triggerFile):
                    with fileOpen(triggerFile) as fh:
                        triggered = False
                        for line in fh:
                            if line == triggerLine:
                                triggered = True
                                break
                    if triggered:
                        volumes.append(vol)

    return sorted(volumes)


def extract(
    workLocation,
    volumesLocation,
    volumes=True,
    byTitle=True,
    silent=SILENT_D,
    api=None,
    overwrite=None,
    checkOnly=False,
    show=False,
):
    """Extracts volumes of a work.

    The volumes are new TF datasets, the work is an existing TF data set.
    Volumes of a work consist of collections of its top-level sections.

    You can define volumes by passing a volume specification.
    If the specification `True` is given, a volume will be created for every single
    top-level section.

    Volumes will get a node feature `owork` which maps nodes in the volume to
    nodes in the work.

    !!! note "use of feature `owork`"
        If volumes are combined to a work, nodes in distinct volumes may
        correspond to a single node in the work. In that case, they have the
        same value in the `owork` feature.
        When combining, such nodes are merged into one node in the work,
        with slots the union of the slots of those nodes in the volumes.

        See also `tf.volumes.collect`.

    !!! caution "inter-volume edges"
        Some edge features may link nodes across volumes.
        When creating a volume, we leave out those edges.
        Doing so, we loose information, which prevents us to reinstate
        inter volume edges when we collect volumes.
        That's why we'll save those inter-volume edges in two special features.

    !!! caution "inter-version edges"
        Features with names starting in `omap@` contain node maps from
        older to newer versions.
        These will be excluded from volumes.

    Volumes will also get two node features `ointerfrom` and `ointerto`.

    For each node `f` in the volume, `ointerfrom` has a value composed of
    all work nodes `t` outside the volume that are reached by an edge
    named `e` from `f` with value *val*.

    For each node `t` in the volume, `ointerto` has a value composed of
    all work nodes `f` outside the volume that reach `t` by an edge
    named `e` with value *val*.

    More precisely, the keys of `ointerf` and `ointert` are nodes `nW` of the
    *original work* that correspond with nodes in the volume that have outgoing resp.
    incoming edges to resp. from other volumes.

    Each value of `oninterf` and `ointert` is a semicolon separated list of

    `mW`, `e`, `doValues`, `valueType` , `value`

    where

    `mW` is the node in the *original work* reached by `nW` or that reaches `nW`

    `e` is the name of the edge feature in question

    `doValues` is `v` if the edge feature has values and `x` otherwise

    `valueType` is `i` (`int`) or `s` (`str`)

    `value` is the value assigned by the edge feature to the edge from `nW` to `mW`
    or from `mW` to `nW`. If the edge does not have values it is a dummy value `x`.

    Parameters
    ----------

    workLocation: string
        The directory where the dataset resides.

    volumesLocation: string
        The directory under which the feature files of the volumes
        will be written.

    volumes: boolean or dict or set, optional True
        If True, extracts all top-level sections into separate volumes.

        If it is a dict, the keys are names for the volumes, and the values
        are tuples or lists of top-level sections that make up the volumes.

        If it is a set, each member is an tuple of top-level sections that
        belong to that volume.
        In this case, each volume gets a generated name.

        The top-level sections must be specified by their title if
        `byTitle` is True, else by their sequence number.

        If names for volumes have to be generated,
        they will consist of the top-level section specifications, separated by a "-".

        !!! caution "Disjointness"
            All volumes must be disjoint, they cannot have top-level sections
            in common.

    byTitle: boolean, optional True
        Whether the top-level sections are named by their sequence numbers
        (starting at 1).
        or by their titles.
        Default: by their titles.
        Note, that depending on the work, section titles may be strings or integers.

    silent: string, optional tf.core.timestamp.SILENT_D
        See `tf.core.timestamp.Timestamp`

    api: object, optional None
        If given, assume it is the TF API of a loaded work
        from which the volumes are to be extracted.
        In this case, the `workLocation` parameter is not used.
        If absent or `None`, the dataset at `workLocation`
        will be loaded by TF, and its API will be used subsequently.

    overwrite: boolean, optional None
        If True, the volumes defined by `volumes` will be
        all be created and will replace any existing volumes of the same names.
        If None, only missing volumes will be created. No check will be performed
        as to whether existing volumes conform to the volume specifications.
        If False, refuses to proceed if any of the volume directories already exist.

    checkOnly: boolean, optional False
        If True, only checks whether there is work to do based on the values
        of the `volumes` and `overwrite` parameters.
        If there is an error, returns False, otherwise returns the volumes in as
        far as they have to be extracted.

    show: boolean, optional False
        If True, does not return anything, but pretty prints the result
        to the screen.

    Returns
    -------
    dict
        For each volume an item,
        whose key is the name of the volume and whose value is a dict with
        items `location` (on disk) and `new` (whether the volume has been created
        by this call).

    Example
    -------
        volumeList = extract(
            'clariah-gm/tf/0.9.1',
            'clariah-gm/asvolumes/tf/0.9.1',
        )

    This will extract the top-level sections of the missives corpus
    into that many volumes.

    Example
    -------
        volumeList = extract(
            'clariah-gm/tf/0.9.1',
            'clariah-gm/asvolumes/tf/0.9.1',
            volumes=dict(
                early=(1,2,3,4,5,6,7,8),
                late=(9, 10, 11, 12),
            )
        )

    This will create 2 volumes, named `early` and `late`,
    where `early` consists of top-level sections 1-8,
    and `late` consists of top-level sections 9-12.
    Top-level section 13 will not be extracted into a volume.

    Example
    -------
        volumeList = extract(
            'bhsa/tf/2021',
            'bhsa/asvolumes/tf/2021',
        )

    This will extract the books of the bible as separate volumes.

    Example
    -------
        volumeList = extract(
            'bhsa/tf/2021',
            'bhsa/asvolumes/tf/2021',
            volumes=dict(
                thora=("Genesis", "Exodus", "Leviticus", "Numeri", "Deuteronomy"),
                poetry=("Psalms", "Proverbs"),
            ),
        )

    This will extract two volumes of the bible:
    `thora` with the first 5 books and `poetry` with two poetic books.
    """

    silent = silentConvert(silent)

    givenVolumes = set()
    volumeData = {}

    def checkVolumeLocs():
        good = True

        removable = set()
        for name, v in volumeData.items():
            loc = f"{volumesLocation}/{name}"
            v["location"] = loc
            if not dirEmpty(loc):
                if overwrite is None:
                    info(
                        f"Volume {name} already exists and will not be recreated",
                        tm=False,
                    )
                    removable.add(name)
                else:
                    if overwrite:
                        dirRemove(loc)
                        info(f"Volume {name} exists and will be recreated", tm=False)
                    else:
                        good = False
                        error(
                            f"Volume {name} already exists in {ux(loc)}",
                            tm=False,
                        )
        for name in removable:
            del volumeData[name]
        return good

    def checkVolumes():
        info("Check volumes ...")
        indent(level=1)

        good = True
        if volumes is not True:
            givenVolumes.clear()

            if type(volumes) is dict:
                for name, heads in volumes.items():
                    volumeData[name] = dict(heads=heads)
                    givenVolumes.add(name)
            else:
                for heads in volumes:
                    headRep = "-".join(str(head) for head in heads)
                    volumeData[headRep] = dict(heads=heads)
                    givenVolumes.add(headRep)

            headIndex = {}

            for name, v in volumeData.items():
                heads = v["heads"]
                if not heads:
                    error("Empty volumes not allowed")
                    good = False
                    continue
                for head in heads:
                    seenName = headIndex.get(head, None)
                    if seenName:
                        error(
                            f"Section {head} of volume {seenName}"
                            f" reoccurs in volume {name}"
                        )
                        good = False
                    headIndex[head] = name

            if good:
                good = checkVolumeLocs()
        return good

    def checkVolumes2():
        givenVolumes.clear()
        if volumes is True:
            for head in toplevels:
                volumeData[head] = dict(heads=(head,))
                givenVolumes.add(head)
            if not checkVolumeLocs():
                return False

        good = True
        errors = set()

        for name, v in volumeData.items():
            thisGood = True
            for head in v["heads"]:
                if head not in toplevels:
                    errors.add(head)
                    thisGood = False
            if not thisGood:
                good = False

        if errors:
            extra = "title" if byTitle else "number"
            for head in sorted(errors):
                error(f"No such {toplevelType} {extra}: {head}")

        indent(level=0)
        if good:
            info("volumes ok")
        return good

    if api:
        TF = api.TF
    else:
        TF = FabricCore(locations=workLocation, silent=silent)
        api = TF.load("", silent=silent) if checkOnly else TF.loadAll(silent=silent)

    if not api:
        return False

    T = getattr(api, "T", None)
    if T is None:
        error("This work has no Text-API", tm=False)
        return False

    sectionTypes = T.sectionTypes
    if not sectionTypes:
        error("This work has no section levels", tm=False)
        return False

    toplevelType = sectionTypes[0]

    E = api.E
    Eall = api.Eall
    Es = api.Es
    F = api.F
    Fall = api.Fall
    Fs = api.Fs
    L = api.L
    C = api.C

    slotType = F.otype.slotType
    maxSlot = E.oslots.maxSlot
    fOtypeData = F.otype.data
    eOslotsData = E.oslots.data

    allFeatures = getAllRealFeatures(api)

    metaDataTotal = {feat: TF.features[feat].metaData for feat in allFeatures}
    nodeFeatureData = {
        feat: Fs(feat).data for feat in Fall() if feat != OTYPE and feat in allFeatures
    }
    edgeFeatureData = {
        feat: (
            Es(feat).doValues,
            "i" if Es(feat).meta["valueType"] == "int" else "s",
            Es(feat).data,
            Es(feat).dataInv,
        )
        for feat in Eall()
        if feat != OSLOTS and feat in allFeatures
    }

    nTypeInfo = {}
    for nType, av, nF, nT in C.levels.data[0:-1]:
        nTypeInfo[nType] = (nF, nT)

    toplevels = {}

    def getTopLevels():
        nodes = F.otype.s(toplevelType)

        for i, nW in enumerate(nodes):
            head = T.sectionFromNode(nW)[0] if byTitle else i + 1
            toplevels[head] = dict(
                firstSlot=L.d(nW, otype=slotType)[0],
                lastSlot=L.d(nW, otype=slotType)[-1],
            )

        info(f"Work consists of {len(toplevels)} {toplevelType}s:", tm=False)
        indent(level=1, reset=True)

        for head, lv in toplevels.items():
            firstSlot = lv["firstSlot"]
            lastSlot = lv["lastSlot"]
            nSlots = lastSlot - firstSlot + 1
            info(
                f"{toplevelType} {head:<20}: with {nSlots:>8} slots",
                tm=False,
            )
        indent(level=0)
        return True

    def distributeNodes():
        info("Distribute nodes over volumes ...")
        indent(level=1, reset=True)
        up = C.levUp.data

        for name, v in volumeData.items():
            info(f"volume {name} ...")
            indent(level=2, reset=True)

            owork = {}
            allNodes = set()
            allSlots = set()
            sV = 0

            heads = v["heads"]

            for head in heads:
                lv = toplevels[head]
                firstSlot = lv["firstSlot"]
                lastSlot = lv["lastSlot"]
                nSlots = lastSlot - firstSlot + 1
                info(f"{toplevelType} {head:<20} with {nSlots} slots")

                for sW in range(firstSlot, lastSlot + 1):
                    sV += 1
                    allSlots.add(sW)
                    owork[sV] = sW
                    allNodes |= set(up[sW - 1])

            indent(level=1)

            allNodes = sorted(allNodes)

            nodesByType = collections.defaultdict(list)
            for nW in allNodes:
                nType = fOtypeData[nW - maxSlot - 1]
                nodesByType[nType].append(nW)

            nV = sV + 1

            indent(level=2)
            for nType, nodesW in nodesByType.items():
                startV = nV
                for nW in nodesW:
                    owork[nV] = nW
                    nV += 1
                if DEBUG:
                    info(
                        f"node type {nType:<20}: {startV:>8} - {nV - 1:>8}",
                        tm=False,
                    )
            indent(level=1)

            v[ALLSLOTS] = allSlots
            v[OWORK] = owork
            v[OWORKI] = {m: k for (k, m) in owork.items()}
            info(f"volume {name:<20} with {sV} slots" f" and {len(owork):>8} nodes ...")

        indent(level=0)
        info("distribution done")
        return True

    def remapFeatures():
        info("Remap features ...")
        indent(level=1, reset=True)

        for name, v in volumeData.items():
            owork = v[OWORK]
            oworki = v[OWORKI]
            allSlots = v[ALLSLOTS]

            info(f"volume {name} with {len(owork):>8} nodes ...")

            # metadata

            metaData = {}
            v["metaData"] = metaData
            headStr = "-".join(str(head) for head in v["heads"])
            volumeMeta = name if headStr == str(name) else f"{name}:{headStr}"

            for feat, meta in metaDataTotal.items():
                metaData[feat] = {k: m for (k, m) in meta.items()}
                metaData[feat]["volume"] = volumeMeta

            for tp, feat, desc in (
                ("int", OWORK, "mapping from nodes in the volume to nodes in the work"),
                ("str", OINTERF, "all outgoing inter-volume edges"),
                ("str", OINTERT, "all incoming inter-volume edges"),
            ):
                metaData[feat] = {k: m for (k, m) in metaData[OTYPE].items()}
                metaData[feat]["description"] = desc
                metaData[feat]["valueType"] = tp

            # node features

            nodeFeatures = {feat: {} for feat in nodeFeatureData}
            v["nodeFeatures"] = nodeFeatures

            nodeFeatures[OWORK] = owork

            otype = {}
            ointerf = {}
            ointert = {}
            nodeFeatures[OTYPE] = otype
            nodeFeatures[OINTERF] = ointerf
            nodeFeatures[OINTERT] = ointert

            # edge features

            edgeFeatures = {feat: {} for feat in edgeFeatureData}
            v["edgeFeatures"] = edgeFeatures

            oslots = {}
            edgeFeatures[OSLOTS] = oslots

            for nV, nW in owork.items():
                otype[nV] = slotType if nW <= maxSlot else fOtypeData[nW - maxSlot - 1]

                if nW > maxSlot:
                    oslots[nV] = set(
                        oworki[s]
                        for s in eOslotsData[nW - maxSlot - 1]
                        if s in allSlots
                    )
                    if not oslots[nV]:
                        error(f"{otype[nV]} node v={nV} w={nW} has no slots", tm=False)

                for feat, featD in nodeFeatureData.items():
                    val = featD.get(nW, None)
                    if val is not None:
                        nodeFeatures.setdefault(feat, {})[nV] = val

                for feat, (doValues, valTp, featF, featT) in edgeFeatureData.items():
                    # outgoing edges are used to construct the in-volume edge
                    # and the inter-volume outgoing edges
                    if doValues:
                        metaData[feat]["edgeValues"] = True
                    valData = featF.get(nW, None)
                    doValuesRep = "v" if doValues else "x"
                    if valData is not None:
                        value = {} if doValues else set()
                        interItems = []

                        for tW in valData:
                            tV = oworki.get(tW, None)
                            if doValues:
                                val = valData[tW]
                            if tV is None:
                                valRep = str(val) if doValues else "x"
                                interItems.append(
                                    (tW, feat, doValuesRep, valTp, valRep)
                                )
                            else:
                                if doValues:
                                    value[tV] = val
                                else:
                                    value.add(tV)
                        if value:
                            edgeFeatures.setdefault(feat, {})[nV] = value
                        if interItems:
                            ointerf[nW] = ";".join(
                                ",".join(str(i) for i in item) for item in interItems
                            )
                    # incoming edges are only used to construct
                    # the inter-volume incoming edges

                    valData = featT.get(nW, None)
                    if valData is not None:
                        value = set()
                        interItems = []

                        for fW in valData:
                            fV = oworki.get(fW, None)
                            if doValues:
                                val = valData[fW]
                            if fV is None:
                                valRep = str(val) if doValues else "x"
                                interItems.append(
                                    (fW, feat, doValuesRep, valTp, valRep)
                                )
                        if interItems:
                            ointert[nW] = ";".join(
                                ",".join(str(i) for i in item) for item in interItems
                            )

        indent(level=0)
        info("remapping done")
        return True

    def writeTf():
        info("Write volumes as TF datasets")
        indent(level=1, reset=True)

        good = True

        for name, v in volumeData.items():
            info(f"Writing volume {name}")
            metaData = v["metaData"]
            nodeFeatures = v["nodeFeatures"]
            edgeFeatures = v["edgeFeatures"]
            loc = f"{volumesLocation}/{name}"
            v["location"] = loc
            TF = FabricCore(locations=loc, silent=DEEP)
            if not TF.save(
                metaData=metaData,
                nodeFeatures=nodeFeatures,
                edgeFeatures=edgeFeatures,
                silent=SILENT_D if DEBUG else DEEP,
            ):
                good = False
        indent(level=0)
        if not good:
            return False
        info("writing done")
        return good

    def process():
        indent(level=0, reset=True)
        if not checkVolumes():
            return None if show else False
        if checkOnly:
            if volumeData:
                if show:
                    for name, v in volumeData.items():
                        location = ux(v["location"])
                        console(f"{name:<20} @ {location}")
                else:
                    return volumeData
            else:
                if show:
                    console("No volumes")
                else:
                    return {}
        if not getTopLevels():
            return None if show else False
        if not checkVolumes2():
            return None if show else False
        if checkOnly:
            if show:
                for name, v in volumeData.items():
                    location = ux(v["location"])
                    console(f"{name:<20} @ {location}")
            else:
                return volumeData
        if not distributeNodes():
            return None if show else False
        if not remapFeatures():
            return None if show else False
        if not writeTf():
            return None if show else False
        info("All done")
        result = {
            name: dict(location=f"{volumesLocation}/{name}", new=name in volumeData)
            for name in sorted(givenVolumes | set(volumeData))
        }
        if show:
            for name, v in result.items():
                new = " (new)" if v["new"] else " " * 6
                location = ux(v["location"])
                console(f"{name:<20}{new} @ {location}")
        else:
            return result

    wasSilent = isSilent()
    setSilent(silent)
    result = process()
    setSilent(wasSilent)
    return None if show else result

Functions

def extract(workLocation, volumesLocation, volumes=True, byTitle=True, silent='auto', api=None, overwrite=None, checkOnly=False, show=False)

Extracts volumes of a work.

The volumes are new TF datasets, the work is an existing TF data set. Volumes of a work consist of collections of its top-level sections.

You can define volumes by passing a volume specification. If the specification True is given, a volume will be created for every single top-level section.

Volumes will get a node feature owork which maps nodes in the volume to nodes in the work.

use of feature owork

If volumes are combined to a work, nodes in distinct volumes may correspond to a single node in the work. In that case, they have the same value in the owork feature. When combining, such nodes are merged into one node in the work, with slots the union of the slots of those nodes in the volumes.

See also tf.volumes.collect.

inter-volume edges

Some edge features may link nodes across volumes. When creating a volume, we leave out those edges. Doing so, we loose information, which prevents us to reinstate inter volume edges when we collect volumes. That's why we'll save those inter-volume edges in two special features.

inter-version edges

Features with names starting in omap@ contain node maps from older to newer versions. These will be excluded from volumes.

Volumes will also get two node features ointerfrom and ointerto.

For each node f in the volume, ointerfrom has a value composed of all work nodes t outside the volume that are reached by an edge named e from f with value val.

For each node t in the volume, ointerto has a value composed of all work nodes f outside the volume that reach t by an edge named e with value val.

More precisely, the keys of ointerf and ointert are nodes nW of the original work that correspond with nodes in the volume that have outgoing resp. incoming edges to resp. from other volumes.

Each value of oninterf and ointert is a semicolon separated list of

mW, e, doValues, valueType , value

where

mW is the node in the original work reached by nW or that reaches nW

e is the name of the edge feature in question

doValues is v if the edge feature has values and x otherwise

valueType is i (int) or s (str)

value is the value assigned by the edge feature to the edge from nW to mW or from mW to nW. If the edge does not have values it is a dummy value x.

Parameters

workLocation : string
The directory where the dataset resides.
volumesLocation : string
The directory under which the feature files of the volumes will be written.
volumes : boolean or dict or set, optional True

If True, extracts all top-level sections into separate volumes.

If it is a dict, the keys are names for the volumes, and the values are tuples or lists of top-level sections that make up the volumes.

If it is a set, each member is an tuple of top-level sections that belong to that volume. In this case, each volume gets a generated name.

The top-level sections must be specified by their title if byTitle is True, else by their sequence number.

If names for volumes have to be generated, they will consist of the top-level section specifications, separated by a "-".

Disjointness

All volumes must be disjoint, they cannot have top-level sections in common.

byTitle : boolean, optional True
Whether the top-level sections are named by their sequence numbers (starting at 1). or by their titles. Default: by their titles. Note, that depending on the work, section titles may be strings or integers.
silent : string, optional SILENT_D
See Timestamp
api : object, optional None
If given, assume it is the TF API of a loaded work from which the volumes are to be extracted. In this case, the workLocation parameter is not used. If absent or None, the dataset at workLocation will be loaded by TF, and its API will be used subsequently.
overwrite : boolean, optional None
If True, the volumes defined by volumes will be all be created and will replace any existing volumes of the same names. If None, only missing volumes will be created. No check will be performed as to whether existing volumes conform to the volume specifications. If False, refuses to proceed if any of the volume directories already exist.
checkOnly : boolean, optional False
If True, only checks whether there is work to do based on the values of the volumes and overwrite parameters. If there is an error, returns False, otherwise returns the volumes in as far as they have to be extracted.
show : boolean, optional False
If True, does not return anything, but pretty prints the result to the screen.

Returns

dict
For each volume an item, whose key is the name of the volume and whose value is a dict with items location (on disk) and new (whether the volume has been created by this call).

Example

volumeList = extract(
    'clariah-gm/tf/0.9.1',
    'clariah-gm/asvolumes/tf/0.9.1',
)

This will extract the top-level sections of the missives corpus into that many volumes.

Example

volumeList = extract(
    'clariah-gm/tf/0.9.1',
    'clariah-gm/asvolumes/tf/0.9.1',
    volumes=dict(
        early=(1,2,3,4,5,6,7,8),
        late=(9, 10, 11, 12),
    )
)

This will create 2 volumes, named early and late, where early consists of top-level sections 1-8, and late consists of top-level sections 9-12. Top-level section 13 will not be extracted into a volume.

Example

volumeList = extract(
    'bhsa/tf/2021',
    'bhsa/asvolumes/tf/2021',
)

This will extract the books of the bible as separate volumes.

Example

volumeList = extract(
    'bhsa/tf/2021',
    'bhsa/asvolumes/tf/2021',
    volumes=dict(
        thora=("Genesis", "Exodus", "Leviticus", "Numeri", "Deuteronomy"),
        poetry=("Psalms", "Proverbs"),
    ),
)

This will extract two volumes of the bible: thora with the first 5 books and poetry with two poetic books.

def getVolumes(volumesLocation)

Lists volumes of a work that exist in a given directory.

A directory is a volume if it contains the file otype.tf and that file has a line starting with @volume=xxx where xxx is the name of the directory.

Parameters

volumesLocation : string
The directory to search for volumes.

Returns

None or list
If volumesLocation does not exist or is not a directory, None is returned. Otherwise a list of subdirectories that are modules.