Fixed potential memory leak
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@ -23,39 +23,40 @@ class BIGSdbMLSTProfiler(AbstractAsyncContextManager):
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async def fetch_mlst_allele_variants(self, sequence_string: str, exact: bool) -> AsyncGenerator[Allele, Any]:
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# See https://bigsdb.pasteur.fr/api/db/pubmlst_bordetella_seqdef/schemes
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uri_path = "sequence"
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response = await self._http_client.post(uri_path, json={
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async with self._http_client.post(uri_path, json={
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"sequence": sequence_string,
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"partial_matches": not exact
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})
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sequence_response: dict = await response.json()
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}) as response:
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sequence_response: dict = await response.json()
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if "exact_matches" in sequence_response:
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# loci -> list of alleles with id and loci
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exact_matches: dict[str, Sequence[dict[str, str]]] = sequence_response["exact_matches"]
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for allele_loci, alleles in exact_matches.items():
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for allele in alleles:
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alelle_id = allele["allele_id"]
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yield Allele(allele_loci=allele_loci, allele_variant=alelle_id, partial_match_profile=None)
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elif "partial_matches" in sequence_response:
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if exact:
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raise NoBIGSdbExactMatchesException(self._database_name, self._schema_id)
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partial_matches: dict[str, dict[str, Union[str, float, int]]] = sequence_response["partial_matches"]
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for allele_loci, partial_match in partial_matches.items():
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if len(partial_match) <= 0:
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continue
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partial_match_profile = PartialAllelicMatchProfile(
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percent_identity=float(partial_match["identity"]),
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mismatches=int(partial_match["mismatches"]),
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bitscore=float(partial_match["bitscore"]),
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gaps=int(partial_match["gaps"])
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)
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yield Allele(
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allele_loci=allele_loci,
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allele_variant=str(partial_match["allele"]),
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partial_match_profile=partial_match_profile
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)
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else:
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raise NoBIGSdbMatchesException(self._database_name, self._schema_id)
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if "exact_matches" in sequence_response:
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# loci -> list of alleles with id and loci
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exact_matches: dict[str, Sequence[dict[str, str]]] = sequence_response["exact_matches"]
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for allele_loci, alleles in exact_matches.items():
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for allele in alleles:
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alelle_id = allele["allele_id"]
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yield Allele(allele_loci=allele_loci, allele_variant=alelle_id, partial_match_profile=None)
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elif "partial_matches" in sequence_response:
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if exact:
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raise NoBIGSdbExactMatchesException(self._database_name, self._schema_id)
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partial_matches: dict[str, dict[str, Union[str, float, int]]] = sequence_response["partial_matches"]
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for allele_loci, partial_match in partial_matches.items():
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if len(partial_match) <= 0:
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continue
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partial_match_profile = PartialAllelicMatchProfile(
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percent_identity=float(partial_match["identity"]),
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mismatches=int(partial_match["mismatches"]),
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bitscore=float(partial_match["bitscore"]),
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gaps=int(partial_match["gaps"])
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)
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yield Allele(
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allele_loci=allele_loci,
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allele_variant=str(partial_match["allele"]),
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partial_match_profile=partial_match_profile
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)
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else:
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raise NoBIGSdbMatchesException(self._database_name, self._schema_id)
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