(ph6SrSSKrSSKrSSKrSSKrSSKJr SSKrSSKrSSK r SSK J r SSK J r SSK J r SSK J r SrSSKrSrS rS r\R*"S 5r\R*"S 5r\R*"S 5r\R*"S5r\R*"S5r\R*"S5r\R*"S5rSrS:SjrS:SjrS:Sjr S:Sjr!S:Sjr"S;Sjr#S:Sjr$"SS5r%"SS5r&"SS\&5r'"S S!5r("S"S#5r)"S$S%\(5r*"S&S'\(5r+"S(S)5r,"S*S+5r-S,r.S:S-jr/S.r0S/r1S0r2S1r3S2r4S3r5S4r6S5r7S6r8S7r9"S8S95r:g!\a S rGNHf=f!\a S rGNPf=f)[a-z0-9_.-]{3,63})/(?P.+)$zm^projects/(?P[a-z0-9-]{6,30})/locations/(?P[^/]+)/models/(?P[A-Za-z0-9]+)$zS^projects/(?P[a-z0-9-]{6,30})/models/(?P[A-Za-z0-9_-]{1,60})$z;^projects/(?P[a-z0-9-]{6,30})/operations/[^/]+$cB[R"U[[5$)zReturns an _MLService instance for an App. Args: app: A Firebase App instance (or None to use the default App). Returns: _MLService: An _MLService for the specified App instance. Raises: ValueError: If the app argument is invalid. )rget_app_service _ML_ATTRIBUTE _MLServiceapps D/var/www/html/venv/lib/python3.13/site-packages/firebase_admin/ml.py_get_ml_servicerBs  ! !#}j AAc^[U5n[RURU5US9$)zCreates a model in the current Firebase project. Args: model: An ml.Model to create. app: A Firebase app instance (or None to use the default app). Returns: Model: The model that was created in Firebase ML. r)rModel from_dict create_modelmodelr ml_services rrrQ,!%J ??:2259s? CCrc^[U5n[RURU5US9$)zUpdates a model's metadata or model file. Args: model: The ml.Model to update. app: A Firebase app instance (or None to use the default app). Returns: Model: The updated model. r)rrr update_modelrs rrr_rrc\[U5n[RURUSS9US9$)zPublishes a Firebase ML model. A published model can be downloaded to client apps. Args: model_id: The id of the model to publish. app: A Firebase app instance (or None to use the default app). Returns: Model: The published model. Tpublishrrrr set_publishedmodel_idrrs r publish_modelr$ms2!%J ??:33Hd3KQT? UUrc\[U5n[RURUSS9US9$)zUnpublishes a Firebase ML model. Args: model_id: The id of the model to unpublish. app: A Firebase app instance (or None to use the default app). Returns: Model: The unpublished model. Frrr r"s runpublish_modelr&}s2!%J ??:33He3LRU? VVrc^[U5n[RURU5US9$)zGets the model specified by the given ID. Args: model_id: The id of the model to get. app: A Firebase app instance (or None to use the default app). Returns: Model: The requested model. r)rrr get_modelr"s rr(r(s,!%J ??://9s? CCrcB[U5n[URXX#S9$)aLists the current project's models. Args: list_filter: a list filter string such as ``tags:'tag_1'``. None will return all models. page_size: A number between 1 and 100 inclusive that specifies the maximum number of models to return per page. None for default. page_token: A next page token returned from a previous page of results. None for first page of results. app: A Firebase app instance (or None to use the default app). Returns: ListModelsPage: A (filtered) list of models. r)rListModelsPage list_models) list_filter page_size page_tokenrrs rr+r+s*!%J   MMrc<[U5nURU5 g)zDeletes a model from the current project. Args: model_id: The id of the model you wish to delete. app: A Firebase app instance (or None to use the default app). N)r delete_modelr"s rr0r0s!%JH%rc\rSrSrSrSSjr\SSj5rSrSr Sr \ S 5r \ S 5r \ RS 5r \S 5r\ S 5r\ S5r\ S5r\ S5r\ S5r\ S5r\ S5r\RS5r\ S5rSSjr\ S5r\RS5rSSjrSrg)ra5A Firebase ML Model object. Args: display_name: The display name of your model - used to identify your model in code. tags: Optional list of strings associated with your model. Can be used in list queries. model_format: A subclass of ModelFormat. (e.g. TFLiteFormat) Specifies the model details. NcfSUl0UlSUlUbXlUbX lUbX0lggN)_app_data _model_format display_nametags model_format)selfr8r9r:s r__init__Model.__init__s@  !  # ,   I  # ,  $rc[U5nSnURSS5nURSS5 U(a[RU5n[ US9nX6lX&lU$)-Create an instance of the object from a dict.N tfliteModel@typer:)dictpop TFLiteFormatrrr6r5)clsdatar data_copy tflite_formattflite_format_datars rrModel.from_dicts^J  &]]=$? gt$ (223EFM=1   rcr[RU5nURUlURUlgr4)rrr:r6)r;rGcopys r_update_from_dictModel._update_from_dicts)t$ --ZZ rc[XR5(a9URUR:H=(a URUR:H$gNF) isinstance __class__r6r7r;others r__eq__ Model.__eq__= e^^ , ,::,Z1C1CuGZGZ1Z Zrc.URU5(+$r4rVrTs r__ne__ Model.__ne__;;u%%%rcURRS5(dg[URRS55upU$)z&The model's ID, unique to the project.nameN)r6get_validate_and_parse_name)r;_r#s rr#Model.model_ids8zz~~f%%.tzz~~f/EF rc8URRS5$)zYThe model's display name, used to refer to the model in code and in the Firebase console. displayNamer6r`r;s rr8Model.display_nameszz~~m,,rc6[U5URS'U$)Nre)_validate_display_namer6)r;r8s rr8rhs$:<$H =! rcU(dgSn[RRS5n[RRX5n[X2- R 5S-5nU$)Nz%Y-%m-%dT%H:%M:%S.%fZri)datetimeutcfromtimestampstrptimeint total_seconds) date_string format_strepochdatetime_objectmilliss r_convert_to_millisModel._convert_to_millissY, !!2215"++44[Mo-<<>EF rc`[RURRSS55$)zThe time the model was created. createTimeNrrvr6r`rgs r create_timeModel.create_time$'' |T(JKKrc`[RURRSS55$)z$The time the model was last updated. updateTimeNrzrgs r update_timeModel.update_time r}rcxURRS05RS05RS5$)zValidation error message.statevalidationErrormessagerfrgs rvalidation_errorModel.validation_errors2zz~~gr*../@"EII)TTrcj[URRS05RS55$)zETrue if the model is published and available for clients to download.r published)boolr6r`rgs rrModel.publisheds)DJJNN7B/33K@AArc8URRS5$)z,The entity tag (ETag) of the model resource.etagrfrgs rr Model.etagzz~~f%%rc8URRS5$)z SHA256 hash of the model binary. modelHashrfrgs r model_hashModel.model_hashzz~~k**rc8URRS5$)z.Tag strings, used for filtering query results.r9rfrgs rr9 Model.tags#rrc6[U5URS'U$)Nr9)_validate_tagsr6)r;r9s rr9r(s+D1 6 rc[URRS5=(a' [URRS55S:5$)z:True if the Model object is locked by an active operation.activeOperationsr)rr6r`lenrgs rlocked Model.locked-sDDJJNN#56@ '9:;a?A ArcUR(dg[UR5nURR S5SR S5nUR UR U5SUS9nURU5 g)a!Waits for the model to be unlocked. 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Nrrr_T)wait_for_operationmax_time_seconds)rrr5r6r`handle_operation get_operationrN)r;rrop_name model_dicts rwait_for_unlockedModel.wait_for_unlocked3sx{{ $TYY/ **..!34Q7;;FC00  $ $W -#-1/  z*rcUR$)z]The model's ``ModelFormat`` object, which represents the model's format and storage location.)r7rgs rr:Model.model_formatGs!!!rc.Ub [U5 XlU$r4)_validate_model_formatr7)r;r:s rr:rMs  # "< 0) rc[UR5nUR(a(URURR US95 U$)4Returns a serializable representation of the object. for_upload)rCr6r7updateas_dictr;rrMs rr Model.as_dictTs>DJJ    KK**22j2I J r)r5r6r7r8r:r9)NNNr4F)__name__ __module__ __qualname____firstlineno____doc__r< classmethodrrNrVr[propertyr#r8setter staticmethodrvr{rrrrrr9rrr:r__static_attributes__rrrrs -    &-- LLLLUUBB &&++&& [[AA +(""  rrc"\rSrSrSrSSjrSrg) ModelFormati\z?Abstract base class representing a Model Format such as TFLite.c[erNotImplementedErrorr;rs rrModelFormat.as_dict^!!rrNrrrrrrrrrrrrr\s I"rrc\rSrSrSrSSjr\S5rSrSr \ S5r \ S 5r \ RS 5r \ S 5rSS jrS rg)rEiczModel format representing a TFLite model. 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Nc40UlSUlUbXlggr4r6 _model_source model_sourcer;rs rr<TFLiteFormat.__init__is" !  # ,  $rcX[U5n[URU5S9nX#lU$)r?)r)rCrE_init_model_sourcer6)rFrGrHrIs rrTFLiteFormat.from_dictps.J $#2H2H2ST 'rc[XR5(a9URUR:H=(a URUR:H$grQ)rRrSr6rrTs rrVTFLiteFormat.__eq__xrXrc.URU5(+$r4rZrTs rr[TFLiteFormat.__ne__~r]rcURSS5nU(a [US9$URSS5nU(a$[R"S[5 [ US9$g)zInitialize the ML model source. gcsTfliteUriN)gcs_tflite_uri automlModelQAutoML model support is deprecated and will be removed in the next major version.) auto_ml_model)rDTFLiteGCSModelSourcewarningswarnDeprecationWarningTFLiteAutoMlSource)rGrrs rrTFLiteFormat._init_model_sourcesX.$7 '~F F5  MM+,> @%MB BrcUR$)zThe TF Lite model's location.)rrgs rrTFLiteFormat.model_sources!!!rcVUb [U[5(d [S5eXlg)Nz0Model source must be a TFLiteModelSource object.)rRTFLiteModelSource TypeErrorrrs rrrs(  #l,=>> RSS)rc8URRS5$)z'The size in bytes of the TF Lite model. sizeBytesrfrgs r size_bytesTFLiteFormat.size_bytesrrc[UR5nUR(a(URURR US95 SU0$)rrr@)rCr6rrrrs rrTFLiteFormat.as_dictsDDJJ    KK**22j2I Jt$$rrr4r)rrrrrr<rrrVr[rrrrrrrrrrrrErEcs - &  ""** ++%rrEc"\rSrSrSrSSjrSrg)rizIAbstract base class representing a model source for TFLite format models.c[errrs rrTFLiteModelSource.as_dictrrrNrrrrrrrs S"rrc`\rSrSrSrSrSr\S5r\S5r \S5r \S5r S r g ) _CloudStorageClientizCloud Storage helper classz gs://{0}/{1}zFirebase/ML/Models/{0}c0[(d [S5eg)NznFailed to import the Cloud Storage library for Python. Make sure to install the "google-cloud-storage" module.) _GCS_ENABLED ImportErrorrrr_assert_gcs_enabled'_CloudStorageClient._assert_gcs_enableds!|NO Orc[RU5nU(d [S5eURS5URS54$)N!GCS TFLite URI format is invalid. bucket_name blob_name)_GCS_TFLITE_URI_PATTERNmatch ValueErrorgroup)urimatchers r_parse_gcs_tflite_uri)_CloudStorageClient._parse_gcs_tflite_uris@*//4@A A}}]+W]];-GGGrcf[R5 [RR U5n[ R "XS9n[RRU5nURU5nURU5 [RRURU5$)z4Upload a model file to the specified Storage bucket.r) rrospathbasenamerbucket BLOB_NAMEformatblobupload_from_filenameGCS_URIr_)rmodel_file_namer file_namerrr s rupload_CloudStorageClient.uploads //1GG$$_5  5'1188C {{9% !!/2"**11&++yIIrc[R5 [RU5up#[R"X!S9nUR U5nUR S[R"SS9SS9$)zHMakes the gcs_tflite_uri readable for GET for 10 minutes via signed_uri.rv4 )minutesGET)version expirationmethod) rrrrrr generate_signed_urlrl timedelta)rrrrrr s rsign_uri_CloudStorageClient.sign_urisk //1!4!J!J>!Z  5{{9%''))"5(  rrN) rrrrrr r rrrrrrrrrrrsc$G(IOO HH J J    rrc\rSrSrSr\"5rSSjrSrSr \ SSj5r \ S5r \ S 5r\ S 5r\ SS j5r\ SS j5r\S 5r\R(S5rSrSSjrSrg)rizCTFLite model source representing a tflite model file stored in GCS.Nc0X l[U5Ulgr4)r5_validate_gcs_tflite_uri_gcs_tflite_uri)r;rrs rr<TFLiteGCSModelSource.__init__s 7Grcj[XR5(aURUR:H$grQ)rRrSr!rTs rrVTFLiteGCSModelSource.__eq__s+ e^^ , ,''5+@+@@ @rc.URU5(+$r4rZrTs rr[TFLiteGCSModelSource.__ne__r]rcT[RRX!U5n[XCS9$)aUploads the model file to an existing Google Cloud Storage bucket. Args: model_file_name: The name of the model file. bucket_name: The name of an existing bucket. None to use the default bucket configured in the app. app: A Firebase app instance (or None to use the default app). Returns: TFLiteGCSModelSource: The source created from the model_file Raises: ImportError: If the Cloud Storage Library has not been installed. )rr)r_STORAGE_CLIENTr)rFrrrgcs_uris rfrom_tflite_model_file+TFLiteGCSModelSource.from_tflite_model_files( '66==k\_`#7DDrcN[(d [S5e[RRR S5(da[RRR S5(d2[SR [RR55egg)Nz_Failed to import the tensorflow library for Python. Make sure to install the tensorflow module.1.z2.z5Expected tensorflow version 1.x or 2.x, but found {0}) _TF_ENABLEDrtfrVERSION startswithr rrr_assert_tf_enabled'TFLiteGCSModelSource._assert_tf_enableds{BC Czz!!,,T222::;M;M;X;XY];^;^U%vbjj&8&89; ;<_2rct[RRRU5nUR 5$r4)r/liteTFLiteConverterfrom_saved_modelconvert)saved_model_dir converters r_tf_convert_from_saved_model1TFLiteGCSModelSource._tf_convert_from_saved_model s-GG++<<_M   ""rc[RRRS5(adSn[RR R X5 [RRRU5nUR5$[RRRU5nUR5$)z4Converts the given Keras model into a TF Lite model.r-zfirebase_keras_model.h5) r/rr0r1kerasmodels save_modelr5r6from_keras_model_filefrom_keras_modelr8) keras_model keras_filer:s r_tf_convert_from_keras_model1TFLiteGCSModelSource._tf_convert_from_keras_models ::   ( ( . .2J HHOO & &{ ?//EEjQI  ""//@@MI  ""rc[R5 [RU5n[US5nUR U5 SSS5 [R X#U5$!,(df  N$=f)aOCreates a Tensor Flow Lite model from the saved model, and uploads the model to GCS. Args: saved_model_dir: The saved model directory. model_file_name: The name that the tflite model will be saved as in Cloud Storage. bucket_name: The name of an existing bucket. None to use the default bucket configured in the app. app: Optional. A Firebase app instance (or None to use the default app) Returns: TFLiteGCSModelSource: The source created from the saved_model_dir Raises: ImportError: If the Tensor Flow or Cloud Storage Libraries have not been installed. wbN)rr2r;openwriter*)rFr9rrr tflite_model model_files rr7%TFLiteGCSModelSource.from_saved_models\$ //1+HHY /4 (J   \ *)#::?Y\]]) ( A&& A4c[R5 [RU5n[US5nUR U5 SSS5 [R X#U5$!,(df  N$=f)a>Creates a Tensor Flow Lite model from the keras model, and uploads the model to GCS. Args: keras_model: A tf.keras model. model_file_name: The name that the tflite model will be saved as in Cloud Storage. bucket_name: The name of an existing bucket. None to use the default bucket configured in the app. app: Optional. A Firebase app instance (or None to use the default app) Returns: TFLiteGCSModelSource: The source created from the keras_model Raises: ImportError: If the Tensor Flow or Cloud Storage Libraries have not been installed. rHN)rr2rErIrJr*)rFrCrrrrKrLs rrB%TFLiteGCSModelSource.from_keras_model5s\$ //1+HHU /4 (J   \ *)#::?Y\]]) (rNcUR$)z'URI of the model file in Cloud Storage.)r!rgs rr#TFLiteGCSModelSource.gcs_tflite_uriMs###rc$[U5Ulgr4)r r!)r;rs rrrRRs7Grcj[RRURUR5$)zQSigns the GCS uri, so the model file can be uploaded to Firebase ML and verified.)rr(rr!r5rgs r_get_signed_gcs_tflite_uri/TFLiteGCSModelSource._get_signed_gcs_tflite_uriVs(#33<!_validate_tags.. s 1DSJsC DszTags must be a list of strings.c3L# UHn[RU5v M g7fr4) _TAG_PATTERNrrs rrr s7$3|!!#&&$s"$zTag format is invalid.)rRlistallrr)r9s rrrsN dD ! ! 1D 1119:: 7$7 7 7122 KrcP[RU5(d [S5eU$)Nr)rrr)rs rr r s& # ( ( - -<== JrcP[RU5(d [S5eU$)Nr)_AUTO_ML_MODEL_PATTERNrr)rs rreres$ ! ' ' . .ABB LrcF[U[5(d [S5eU$)Nz*Model format must be a ModelFormat object.)rRrrrBs rrrs! lK 0 0DEE rcLUb![U[5(d [S5egg)Nz%List filter must be a string or None.rRrr)r,s r_validate_list_filterr$s++s++CD D,rcUbL[U5[La [S5eUS:d U[:a[ SR [55egg)Nz#Page size must be a number or None.rz6Page size must be a positive integer between 1 and {0})typeror_MAX_PAGE_SIZErr )r-s r_validate_page_sizer*sV  ?# %AB B q=I6))/)?A A7 rcLUb![U[5(d [S5egg)Nz$Page token must be a string or None.r)r.s r_validate_page_tokenr4s+*c**BC C+rcl\rSrSrSrSrSrSrSrSr Sr S r SS jr S r SS jrSrSrSrSrSrg )r i:zFirebase ML service.z7https://firebaseml.googleapis.com/v1beta2/projects/{0}/z*https://firebaseml.googleapis.com/v1beta2/g?cURUlUR(d [S5e[RR UR5UlSSR [R50n[R"URR5UUR S9Ul [R"URR5U[RS9Ulg)NzqProject ID is required to access ML service. Either set the projectId option, or use service account credentials.zX-FIREBASE-CLIENTzfire-admin-python/{0}) credentialheadersbase_url)r _project_idrr PROJECT_URLr  _project_urlfirebase_admin __version__rJsonHttpClientrget_credential_client OPERATION_URL_operation_client)r;r ml_headerss rr<_MLService.__init__Bs>>HI I'2299$:J:JK !8!?!?@Z@Z![ $22~~446&&( ".! > == }}Z(( }}Z00}}W%%33IMM'4JKK))2XY Y*9==+@A==R0 Wb1 %%&>??AB B.x||F/CD &&**, -5T("4"4=M"NN  v)>)>  % %o A**73I q O !v)>)> == }}Z(( }}Z00}}W%%33IMM'4JKK"**,,rc [U5 URURRSSUR SS9S95$![ R Ran[R"U5eSnAff=f)Npostr?Trrjson) rrrrrrrrrr)r;rrs rr_MLService.create_modelsy D(( !!&hU]]VZ]=[!\^ ^""33 D<>2  "+22;??D D(( !!'t--SW-:X!Y[ [""33 D<EI#: )D D<<$$U$5 5""33 D<rs '!%&L K JJ78 #;<zz23 **BD*+Z\**BD B D D V W DM&&bbJ""A%;A%H"", , ^B6,B6J 4* 4F?$?$D>B<8     E AD fDfDeLKs#E=F =F F  FF