def load_broadinstitute_exac(data_folder):
t0 = time.time()
exacs = load_broadinstitute_exac_all(data_folder)
for k,v in load_broadinstitute_exac_nontcga(data_folder).items():
try:
exacs[k]["exac"]["nontcga"] = v["exac"]["nontcga"]
except KeyError:
exacs[k] = v
for k,v in load_broadinstitute_exac_nonpsych(data_folder).items():
try:
exacs[k]["exac"]["nonpsych"] = v["exac"]["nonpsych"]
except KeyError:
exacs[k] = v
logging.info("Convert transcript ID to EntrezID")
from ..ensembl.parser import EnsemblParser
from biothings.utils.hub_db import get_src_dump
ensembl_doc = get_src_dump().find_one({"_id":"ensembl"}) or {}
ensembl_dir = ensembl_doc.get("data_folder")
assert ensembl_dir, "Can't find Ensembl data directory (used for id conversion)"
ensembl_parser = EnsemblParser(ensembl_dir)
ensembl_parser._load_ensembl2entrez_li()
ensembl2entrez = list2dict(ensembl_parser.ensembl2entrez_li, 0, alwayslist=True)
for line in tabfile_feeder(os.path.join(ensembl_dir,"gene_ensembl__translation__main.txt")):
_,ensid,transid,_ = line
if transid in exacs:
data = exacs.pop(transid) # pop so no-match means no data in the end
for entrezid in ensembl2entrez.get(ensid,[ensid]):
exacs[entrezid] = data
return exacs
def source_info(self, source=None):
src_dump = get_src_dump()
src_ids = list(self.register.keys())
if source:
if source in src_ids:
src_ids = [source]
else:
return None
res = []
for _id in src_ids:
src = src_dump.find_one({"_id": _id}) or {}
assert len(
self.register[_id]
) == 1, "Found more than one dumper for source '%s': %s" % (
_id, self.register[_id])
dumper = self.register[_id][0]
src.setdefault("download", {})
src["download"]["dumper"] = {
"name":
"%s.%s" %
(inspect.getmodule(dumper).__name__, dumper.__name__),
"bases": [
"%s.%s" % (inspect.getmodule(k).__name__, k.__name__)
for k in dumper.__bases__
],
"manual":
issubclass(dumper, ManualDumper),
}
src["name"] = _id
src["_id"] = _id
res.append(src)
if source:
return res.pop()
else:
return res
def main(confirm=True):
src_dump = get_src_dump()
ensembl_doc = src_dump.find_one({"_id": "ensembl"}) or {}
ENSEMBL_DATA_FOLDER = ensembl_doc.get("data_folder")
assert ENSEMBL_DATA_FOLDER, "Can't find Ensembl data folder"
entrez_doc = src_dump.find_one({"_id": "entrez"}) or {}
ENTREZ_DATA_FOLDER = entrez_doc.get("data_folder")
assert ENTREZ_DATA_FOLDER, "Can't find Entrez data folder"
gene_ensembl_1_xref_dm_file = os.path.join(
ENSEMBL_DATA_FOLDER, "gene_ensembl__xref_entrezgene__dm.txt")
gene_ensembl_2_main_file = os.path.join(ENSEMBL_DATA_FOLDER,
"gene_ensembl__gene__main.txt")
gene2ensembl_file = os.path.join(ENTREZ_DATA_FOLDER, "gene2ensembl.gz")
gene_main_file = os.path.join(ENTREZ_DATA_FOLDER, "gene_info.gz")
outfile = os.path.join(ENSEMBL_DATA_FOLDER,
"gene_ensembl__gene__extra.txt")
multi_mapping_dict, total_ensembl_IDs = find_multiple_mappings_from_entrezgene_file(
gene_ensembl_1_xref_dm_file)
ensembl_dict = create_ensembl_gene_id_dict(gene_ensembl_2_main_file,
multi_mapping_dict)
ensembl_dict, ensembl_match_count = find_ncbi_ids_from_gene2ensembl(
ensembl_dict, gene2ensembl_file)
ncbi_id_symbols = find_ncbi_symbols(gene_main_file, ensembl_dict)
mapping_generator = merge_mapping(ensembl_dict,
ncbi_id_symbols,
add_source=False)
total_mapped = write_mapping_file(mapping_generator,
outfile,
confirm=confirm)
run_stats(total_ensembl_IDs, ensembl_dict, ensembl_match_count,
total_mapped)
def prepare_src_dump(self):
src_dump = get_src_dump()
# just populate/initiate an src_dump record (b/c no dump before) if needed
self.src_doc = src_dump.find_one({'_id': self.main_source})
if not self.src_doc:
src_dump.save({"_id": self.main_source})
self.src_doc = src_dump.find_one({'_id': self.main_source})
return src_dump
def export_mapping(self, plugin_name, folder):
res = {
"mapping": {
"status": None,
"file": None,
"message": None,
"origin": None
}
}
# first check if plugin defines a custom mapping in manifest
# if that's the case, we don't need to export mapping there
# as it'll be exported with "uploader" code
plugindoc = get_data_plugin().find_one({"_id": plugin_name})
assert plugindoc, "Can't find plugin named '%s'" % plugin_name
plugin_folder = plugindoc.get("download", {}).get("data_folder")
assert plugin_folder, "Can't find plugin folder for '%s'" % plugin_name
try:
manifest = json.load(
open(os.path.join(plugin_folder, "manifest.json")))
if "mapping" in manifest.get("uploader", {}):
res["mapping"][
"message"] = "Custom mapping included in uploader export"
res["mapping"]["status"] = "warning"
res["mapping"]["origin"] = "custom"
return res
except Exception as e:
self.logger.error("Can't read manifest while exporting code: %s" %
e)
# try to export mapping from src_master (official)
doc = get_src_master().find_one({"_id": plugin_name})
if doc:
mapping = doc.get("mapping")
res["mapping"]["origin"] = "registered"
else:
doc = get_src_dump().find_one({"_id": plugin_name})
mapping = doc and doc.get("inspect", {}).get("jobs", {}).get(plugin_name, {}).get("inspect", {}).\
get("results", {}).get("mapping")
res["mapping"]["origin"] = "inspection"
if not mapping:
res["mapping"]["origin"] = None
res["mapping"]["status"] = "warning"
res["mapping"][
"message"] = "Can't find registered or generated (inspection) mapping"
return res
else:
ufile = os.path.join(folder, "upload.py")
strmap, _ = yapf_api.FormatCode(pprint.pformat(mapping))
with open(ufile, "a") as fout:
fout.write("""
@classmethod
def get_mapping(klass):
return %s\n""" % textwrap.indent((strmap), prefix=" " * 2))
res["mapping"]["file"] = ufile
res["mapping"]["status"] = "ok"
return res
def clean_stale_status(self):
src_dump = get_src_dump()
srcs = src_dump.find()
for src in srcs:
jobs = src.get("inspect", {}).get("jobs", {})
for subsrc in jobs:
if jobs[subsrc].get("status") == "inspecting":
logging.warning(
"Found stale datasource '%s', marking inspect status as 'canceled'"
% src["_id"])
jobs[subsrc]["status"] = "canceled"
src_dump.replace_one({"_id": src["_id"]}, src)
def __init__(self, source_list, dump_manager, upload_manager,
data_plugin_manager):
self._orig_source_list = source_list
self.source_list = None
self.dump_manager = dump_manager
self.upload_manager = upload_manager
self.data_plugin_manager = data_plugin_manager
self.reload()
self.src_master = get_src_master()
self.src_dump = get_src_dump()
# honoring BaseSourceManager interface (gloups...-
self.register = {}
def create_todump_list(self, force=False):
uni_doc = get_src_dump().find_one({"_id":UniprotDumper.SRC_NAME}) or {}
if uni_doc:
remotefile = os.path.join(uni_doc["download"]["data_folder"],self.__class__.UNIPROT_FILE)
if not os.path.exists(remotefile):
self.logger.warning("File '%s' doesn't exist (yet?)" % self.__class__.UNIPROT_FILE)
return
self.release = uni_doc["download"]["release"]
localfile = os.path.join(self.current_data_folder,self.__class__.UNIPROT_FILE)
if force or not os.path.exists(localfile) or self.remote_is_better(remotefile,localfile):
self.to_dump.append({"remote":remotefile,"local":localfile})
else:
self.logger.error("Dependent uniprot datasource has not been loaded (not src_dump doc)")
def load(self, aslist=False):
'''
loading ncbi "homologene.data" file
adding "homologene" field in gene doc
'''
from biothings.utils.hub_db import get_src_dump
homo_d = tab2dict(self.datafile,(2,1),0,header=0)
entrez_doc = get_src_dump().find_one({"_id":"entrez"}) or {}
entrez_dir = entrez_doc.get("data_folder")
assert entrez_dir, "Can't find Entez data directory"
DATAFILE = os.path.join(entrez_dir, 'gene_history.gz')
assert os.path.exists(DATAFILE), "gene_history.gz is missing (entrez_dir: %s)" % entrez_dir
retired2gene = tab2dict(DATAFILE, (1, 2), 1, alwayslist=0,includefn=lambda ld: ld[1] != '-')
for id in list(homo_d.keys()):
homo_d[retired2gene.get(id,id)] = homo_d[id]
with open(self.datafile) as df:
homologene_d = {}
doc_li = []
print()
geneid_d = get_geneid_d(entrez_dir, self.species_li,load_cache=False,save_cache=False,only_for=homo_d)
for line in df:
ld = line.strip().split('\t')
hm_id, tax_id, geneid = [int(x) for x in ld[:3]]
if (self.taxid_set is None or tax_id in self.taxid_set) and geneid in geneid_d:
# for selected species only
# and also ignore those geneid does not match any
# existing gene doc
# in case of orignal geneid is retired, replaced with the
# new one, if available.
geneid = geneid_d[geneid]
genes = homologene_d.get(hm_id, [])
genes.append((tax_id, geneid))
homologene_d[hm_id] = genes
doc_li.append(dict(_id=str(geneid), taxid=tax_id,
homologene={'id': hm_id}))
for i, gdoc in enumerate(doc_li):
gdoc['homologene']['genes'] = self._sorted_homologenes(
set(homologene_d[gdoc['homologene']['id']]))
doc_li[i] = gdoc
if aslist:
return doc_li
else:
gene_d = dict([(d['_id'], d) for d in doc_li])
return gene_d
def create_todump_list(self, force=False):
self.from_src = get_src_dump().find_one(
{"_id": self.__class__.FROM_SOURCE["name"]})
self.to_src = get_src_dump().find_one(
{"_id": self.__class__.TO_SOURCE["name"]})
from_folder = self.from_src.get("download", {}).get("data_folder")
to_folder = self.to_src.get("download", {}).get("data_folder")
assert from_folder, "Couldn't find folder for source %s (tried '%s')" % (
self.from_src, from_folder)
assert to_folder, "Couldn't find folder for source %s (tried '%s')" % (
self.to_src, to_folder)
self.set_release() # so we can generate new_data_folder
for attr, folder in [("FROM_SOURCE", from_folder),
("TO_SOURCE", to_folder)]:
files = getattr(self.__class__, attr, {}).get("files")
assert files, "No files specified in %s" % attr
for one_file in files:
remote_file = os.path.join(folder, one_file)
assert os.path.exists(
remote_file), "Remote file '%s' doesn't exist in %s" % (
remote_file, attr)
new_localfile = os.path.join(self.new_data_folder, one_file)
current_localfile = os.path.join(self.current_data_folder,
one_file)
try:
remote_better = self.remote_is_better(
remote_file, current_localfile)
except FileNotFoundError:
# no local file, we want the remote
remote_better = True
if force or current_localfile is None or remote_better:
self.to_dump.append({
"remote": remote_file,
"local": new_localfile
})
def clean_stale_status(self):
src_dump = get_src_dump()
srcs = src_dump.find()
for src in srcs:
jobs = src.get("upload", {}).get("jobs", {})
dirty = False
for subsrc in jobs:
if jobs[subsrc].get("status") == "uploading":
logging.warning(
"Found stale datasource '%s', marking upload status as 'canceled'"
% src["_id"])
jobs[subsrc]["status"] = "canceled"
dirty = True
if dirty:
src_dump.replace_one({"_id": src["_id"]}, src)
def load_data(self, data_folder):
"""
Loads gene data from NCBI's refseq2gene.gz file.
Parses it based on genomic position data and refseq status provided by the
list of taxids from get_ref_microbe_taxids() as lookup table
:return:
"""
refsrc = get_src_dump().find_one({"_id":"ref_microbe_taxids"})
assert refsrc, "ref_microbe_taxids dump not found"
taxids_file = os.path.join(refsrc["download"]["data_folder"], "ref_microbe_taxids.pyobj")
datafile = os.path.join(data_folder, 'gene2refseq.gz')
taxids = loadobj(taxids_file)
taxid_set = set(taxids)
def _includefn(ld):
return ld[0] in taxid_set # match taxid from taxid_set
cols_included = [0, 1, 7, 9, 10, 11] # 0-based col idx
gene2genomic_pos_li = tab2list(datafile, cols_included, header=1,
includefn=_includefn)
count = 0
last_id = None
for gene in gene2genomic_pos_li:
count += 1
strand = 1 if gene[5] == '+' else -1
_id = gene[1]
mgi_dict = {
'_id': _id,
'genomic_pos': {
'entrezgene': _id,
'start': int(gene[3]),
'end': int(gene[4]),
'chr': gene[2],
'strand': strand
}
}
if _id != last_id:
# rows with dup _id will be skipped
yield mgi_dict
last_id = _id
def source_info(self, source=None):
src_dump = get_src_dump()
src_ids = list(self.register.keys())
if source:
if source in src_ids:
src_ids = [source]
else:
return None
res = []
cur = src_dump.find({"_id": {"$in": src_ids}})
bysrcs = {}
[bysrcs.setdefault(src["_id"], src) for src in cur]
for _id in src_ids:
src = bysrcs.get(_id, {})
uploaders = self.register[_id]
src.setdefault("upload", {})
for uploader in uploaders:
upl = {
"name":
"%s.%s" %
(inspect.getmodule(uploader).__name__, uploader.__name__),
"bases": [
"%s.%s" % (inspect.getmodule(k).__name__, k.__name__)
for k in uploader.__bases__
],
"dummy":
issubclass(uploader, DummySourceUploader),
}
src["upload"].setdefault("jobs",
{}).setdefault(uploader.name, {})
src["upload"]["jobs"][uploader.name]["uploader"] = upl
src["name"] = _id
src["_id"] = _id
res.append(src)
if source:
if res:
return res.pop()
else:
# no information, just return what was passed to honor return type
# + minimal information
return {"name": source, "_id": source}
else:
return res
def export_mapping(self, plugin_name, folder):
res = {
"mapping": {
"status": None,
"file": None,
"message": None,
"origin": None
}
}
# first try to export mapping from src_master (official)
doc = get_src_master().find_one({"_id": plugin_name})
if doc:
mapping = doc.get("mapping")
res["mapping"]["origin"] = "registered"
else:
doc = get_src_dump().find_one({"_id": plugin_name})
mapping = doc and doc.get("inspect",{}).get("jobs",{}).get(plugin_name,{}).get("inspect",{}).\
get("results",{}).get("mapping")
res["mapping"]["origin"] = "inspection"
if not mapping:
res["mapping"]["origin"] = None
res["mapping"]["status"] = "warning"
res["mapping"][
"message"] = "Can't find registered or generated (inspection) mapping"
return res
else:
ufile = os.path.join(folder, "upload.py")
strmap, _ = yapf_api.FormatCode(pprint.pformat(mapping))
with open(ufile, "a") as fout:
fout.write("""
@classmethod
def get_mapping(klass):
return %s\n""" % textwrap.indent((strmap), prefix=" " * 2))
res["mapping"]["file"] = ufile
res["mapping"]["status"] = "ok"
return res
def prepare_src_dump(self):
# Mongo side
self.src_dump = get_src_dump()
self.src_doc = self.src_dump.find_one({'_id': self.src_name}) or {}
def set_pending_to_upload(src_name):
src_dump = get_src_dump()
src_dump.update({"_id": src_name}, {"$addToSet": {"pending": "upload"}})
def migrate_0dot1_to_0dot2():
"""
mongodb src_dump/data_plugin changed:
1. "data_folder" and "release" under "download"
2. "data_folder" and "release" in upload.jobs[subsrc] taken from "download"
3. no more "err" under "upload"
4. no more "status" under "upload"
5. "pending_to_upload" is now "pending": ["upload"]
"""
src_dump = get_src_dump()
data_plugin = get_data_plugin()
for srccol in [src_dump, data_plugin]:
logging.info("Converting collection %s" % srccol)
srcs = [src for src in srccol.find()]
wasdue = False
for src in srcs:
logging.info("\tConverting '%s'" % src["_id"])
# 1.
for field in ["data_folder", "release"]:
if field in src:
logging.debug(
"\t\t%s: found '%s' in document, moving under 'download'"
% (src["_id"], field))
try:
src["download"][field] = src.pop(field)
wasdue = True
except KeyError as e:
logging.warning(
"\t\t%s: no such field '%s' found, skip it (error: %s)"
% (src["_id"], field, e))
# 2.
for subsrc_name in src.get("upload", {}).get("jobs", {}):
for field in ["data_folder", "release"]:
if field not in src["upload"]["jobs"][subsrc_name]:
logging.debug(
"\t\t%s: no '%s' found in upload jobs, taking it from 'download' (or from root keys)"
% (src["_id"], field))
try:
src["upload"]["jobs"][subsrc_name][field] = src[
"download"][field]
wasdue = True
except KeyError:
try:
src["upload"]["jobs"][subsrc_name][
field] = src[field]
wasdue = True
except KeyError:
logging.warning(
"\t\t%s: no such field '%s' found, skip it"
% (src["_id"], field))
# 3. & 4.
for field in ["err", "status"]:
if field in src.get("upload", {}):
logging.debug("\t\t%s: removing '%s' key from 'upload'" %
(src["_id"], field))
src["upload"].pop(field)
wasdue = True
# 5.
if "pending_to_upload" in src:
logging.debug(
"\t%s: found 'pending_to_upload' field, moving to 'pending' list"
% src["_id"])
src.pop("pending_to_upload")
wasdue = True
if "upload" not in src.get("pending", []):
src.setdefault("pending", []).append("upload")
if wasdue:
logging.info("\tFinishing converting document for '%s'" %
src["_id"])
srccol.save(src)
else:
logging.info("\tDocument for '%s' already converted" %
src["_id"])
def prepare_src_dump(self):
"""Sync with src_dump collection, collection information (src_doc)
Return src_dump collection"""
src_dump = get_src_dump()
self.src_doc = src_dump.find_one({'_id': self.main_source}) or {}
return src_dump
def inspect(self,
data_provider,
mode="type",
batch_size=10000,
limit=None,
sample=None,
**kwargs):
"""
Inspect given data provider:
- backend definition, see bt.hub.dababuild.create_backend for
supported format), eg "merged_collection" or ("src","clinvar")
- or callable yielding documents
Mode:
- "type": will inspect and report type map found in data (internal/non-standard format)
- "mapping": will inspect and return a map compatible for later
ElasticSearch mapping generation (see bt.utils.es.generate_es_mapping)
- "stats": will inspect and report types + different counts found in
data, giving a detailed overview of the volumetry of each fields and sub-fields
- "jsonschema", same as "type" but result is formatted as json-schema standard
- limit: when set to an integer, will inspect only x documents.
- sample: combined with limit, for each document, if random.random() <= sample (float),
the document is inspected. This option allows to inspect only a sample of data.
"""
# /!\ attention: this piece of code is critical and not easy to understand...
# Depending on the source of data to inspect, this method will create an
# uploader or a builder. These objects don't be behave the same while they
# pass through pickle: uploader needs to be "unprepare()"ed so it can be
# pickled (remove some db connection, socket), while builder must *not* be
# unprepare() because it would reset the underlying target_name (the actual
# target collection). Also, the way results and statuses are registered is
# different for uploader and builder...
# So, there are lots of "if", be careful if you want to modify that code.
data_provider_type = None # where to register results (if possible to do so)
registerer_obj = None # who should register result
t0 = time.time()
started_at = datetime.now().astimezone()
self.logger.info("Inspecting data with mode %s and data_provider %s" %
(repr(mode), repr(data_provider)))
if callable(data_provider):
raise NotImplementedError("data_provider as callable untested...")
else:
if data_provider[0] == "src":
data_provider_type = "source"
# find src_dump doc
# is it a full source name (dot notation) ?
fullname = get_source_fullname(data_provider[1])
if fullname:
# it's a dot-notation
src_name = fullname.split(".")[0]
else:
# no subsource, full source name is the passed name
src_name = data_provider[1]
fullname = src_name
doc = get_src_dump().find_one({"_id": src_name
}) # query by main source
if not doc:
raise InspectorError(
"Can't find document associated to '%s'" % src_name)
# get an uploader instance (used to get the data if type is "uploader"
# but also used to update status of the datasource via register_status()
ups = self.upload_manager[
fullname] # potentially using dot notation
if len(ups) > 1:
# recursively call inspect(), collect and return corresponding tasks
self.logger.debug(
"Multiple uploaders found, running inspector for each of them: %s"
% ups)
res = []
for up in ups:
r = self.inspect((data_provider[0], "%s" % up.name),
mode=mode,
batch_size=batch_size,
limit=limit,
sample=sample,
**kwargs)
res.append(r)
return res
assert len(
ups
) == 1, "More than one uploader found for '%s', not supported (yet), use main_source.source notation" % data_provider[
1]
# create uploader
registerer_obj = self.upload_manager.create_instance(ups[0])
backend_provider = data_provider
else:
try:
data_provider_type = "build"
registerer_obj = self.build_manager.get_builder(
data_provider)
backend_provider = data_provider
except Exception as e:
raise InspectorError(
"Unable to create backend from '%s': %s" %
(repr(data_provider), e))
got_error = None
try:
@asyncio.coroutine
def do():
yield from asyncio.sleep(0.0)
nonlocal mode
pinfo = {
"category": INSPECTOR_CATEGORY,
"source": "%s" % repr(data_provider),
"step": "",
"description": ""
}
# register begin of inspection (differ slightly depending on type)
if data_provider_type == "source":
registerer_obj.register_status("inspecting",
subkey="inspect")
elif data_provider_type == "build":
registerer_obj.register_status("inspecting",
transient=True,
init=True,
job={"step": "inspect"})
self.logger.info(
"Running inspector on %s (type:%s,data_provider:%s)" %
(repr(data_provider), data_provider_type,
backend_provider))
if sample is not None:
self.logger.info(
"Sample set to %s, inspect only a subset of data",
sample)
if limit is None:
self.logger.info("Inspecting all the documents")
else:
nonlocal batch_size
# adjust batch_size so we inspect only "limit" docs if batch is smaller than the limit
if batch_size > limit:
batch_size = limit
self.logger.info("Inspecting only %s documents", limit)
# make it pickleable
if data_provider_type == "source":
# because register_obj is also used to fetch data, it has to be unprepare() for pickling
registerer_obj.unprepare()
else:
# NOTE: do not unprepare() the builder, we'll loose the target name
# (it's be randomly generated again) and we won't be able to register results
pass
cnt = 0
doccnt = 0
jobs = []
# normalize mode param and prepare global results
if type(mode) == str:
mode = [mode]
converters, mode = btinspect.get_converters(mode)
inspected = {}
for m in mode:
inspected.setdefault(m, {})
backend = create_backend(backend_provider).target_collection
for ids in id_feeder(backend, batch_size=batch_size):
if sample is not None:
if random.random() > sample:
continue
cnt += 1
doccnt += batch_size
if limit and doccnt > limit:
break
pinfo["description"] = "batch #%s" % cnt
def batch_inspected(bnum, i, f):
nonlocal inspected
nonlocal got_error
nonlocal mode
try:
res = f.result()
for m in mode:
inspected[m] = btinspect.merge_record(
inspected[m], res[m], m)
except Exception as e:
got_error = e
self.logger.error(
"Error while inspecting data from batch #%s: %s"
% (bnum, e))
raise
pre_mapping = "mapping" in mode # we want to generate intermediate mapping so we can merge
# all maps later and then generate the ES mapping from there
self.logger.info("Creating inspect worker for batch #%s" %
cnt)
job = yield from self.job_manager.defer_to_process(
pinfo,
partial(inspect_data,
backend_provider,
ids,
mode=mode,
pre_mapping=pre_mapping,
**kwargs))
job.add_done_callback(partial(batch_inspected, cnt, ids))
jobs.append(job)
yield from asyncio.gather(*jobs)
# compute metadata (they were skipped before)
for m in mode:
if m == "mapping":
try:
inspected["mapping"] = es.generate_es_mapping(
inspected["mapping"])
# metadata for mapping only once generated
inspected = btinspect.compute_metadata(
inspected, m)
except es.MappingError as e:
inspected["mapping"] = {
"pre-mapping": inspected["mapping"],
"errors": e.args[1]
}
else:
inspected = btinspect.compute_metadata(inspected, m)
# just potential converters
btinspect.run_converters(inspected, converters)
def fully_inspected(res):
nonlocal got_error
try:
res = btinspect.stringify_inspect_doc(res)
_map = {"results": res}
_map["data_provider"] = repr(data_provider)
_map["started_at"] = started_at
_map["duration"] = timesofar(t0)
# when inspecting with "stats" mode, we can get huge number but mongo
# can't store more than 2^64, make sure to get rid of big nums there
def clean_big_nums(k, v):
# TODO: same with float/double? seems mongo handles more there ?
if isinstance(v, int) and v > 2**64:
return k, math.nan
else:
return k, v
dict_traverse(_map, clean_big_nums)
# register begin of inspection (differ slightly depending on type)
if "mapping" in mode and "errors" in res[
"mapping"] and "pre-mapping" in res["mapping"]:
registerer_obj.register_status("failed",
subkey="inspect",
inspect=_map)
got_error = InspectorError(
res["mapping"]["errors"])
else:
if data_provider_type == "source":
registerer_obj.register_status(
"success", subkey="inspect", inspect=_map)
elif data_provider_type == "build":
registerer_obj.register_status(
"success",
job={"step": "inspect"},
build={"inspect": _map})
except Exception as e:
self.logger.exception(
"Error while inspecting data: %s" % e)
got_error = e
if data_provider_type == "source":
registerer_obj.register_status("failed",
subkey="inspect",
err=repr(e))
elif data_provider_type == "build":
registerer_obj.register_status(
"failed", job={"err": repr(e)})
fully_inspected(inspected)
if data_provider_type is None:
return
if got_error:
raise got_error
task = asyncio.ensure_future(do())
return task
except Exception as e:
self.logger.error("Error while inspecting '%s': %s" %
(repr(data_provider), e))
raise
def poll(self, state, func):
super(UploaderManager, self).poll(state, func, col=get_src_dump())
