🐛 Source Facebook Marketing: Convert values' types according to schema types #4978
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -42,9 +42,5 @@ | |
| "ads_insights_action_types": { | ||
| "date_start": "2121-07-25T13:34:26Z", | ||
| "include_deleted": true | ||
| } | ||
| } | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -27,7 +27,7 @@ | |
| from abc import ABC | ||
| from collections import deque | ||
| from datetime import datetime | ||
| from typing import Any, Iterable, Iterator, List, Mapping, MutableMapping, Optional, Sequence, Union | ||
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| import backoff | ||
| import pendulum | ||
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@@ -46,7 +46,7 @@ | |
| backoff_policy = retry_pattern(backoff.expo, FacebookRequestError, max_tries=5, factor=5) | ||
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| def remove_params_from_url(url: str, params: List[str]) -> str: | ||
| """ | ||
| Parses a URL and removes the query parameters specified in params | ||
| :param url: URL | ||
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@@ -110,7 +110,63 @@ def read_records( | |
| ) -> Iterable[Mapping[str, Any]]: | ||
| """Main read method used by CDK""" | ||
| for record in self._read_records(params=self.request_params(stream_state=stream_state)): | ||
| yield self.transform(self._extend_record(record, fields=self.fields)) | ||
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| def transform(self, record: Mapping[str, Any]) -> Mapping[str, Any]: | ||
| """ | ||
| Use this method to remove update fields types in record according to schema. | ||
| """ | ||
| schema = self.get_json_schema() | ||
| self.convert_to_schema_types(record, schema["properties"]) | ||
| return record | ||
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| def get_python_type(self, _types: Union[list, str]) -> tuple: | ||
| """Converts types from schema to python types. Examples: | ||
| - `["string", "null"]` will be converted to `(str,)` | ||
| - `["array", "string", "null"]` will be converted to `(list, str,)` | ||
| - `"boolean"` will be converted to `(bool,)` | ||
| """ | ||
| types_mapping = { | ||
| "string": str, | ||
| "number": float, | ||
| "integer": int, | ||
| "object": dict, | ||
| "array": list, | ||
| "boolean": bool, | ||
| } | ||
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| if isinstance(_types, list): | ||
| return tuple([types_mapping[t] for t in _types if t != "null"]) | ||
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| return (types_mapping[_types],) | ||
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| def convert_to_schema_types(self, record: Mapping[str, Any], schema: Mapping[str, Any]): | ||
| """ | ||
| Converts values' type from record to appropriate type from schema. For example, let's say we have `reach` value | ||
| and in schema it has `number` type because it's, well, a number, but from API we are getting `reach` as string. | ||
| This function fixes this and converts `reach` value from `string` to `number`. Same for all fields and all | ||
| types from schema. | ||
| """ | ||
| if not schema: | ||
| return | ||
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| for key, value in record.items(): | ||
| if key not in schema: | ||
| continue | ||
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| if isinstance(value, dict): | ||
| self.convert_to_schema_types(record=value, schema=schema[key].get("properties", {})) | ||
| elif isinstance(value, list) and "items" in schema[key]: | ||
| for record_list_item in value: | ||
| if list in self.get_python_type(schema[key]["items"]["type"]): | ||
| # TODO Currently we don't have support for list of lists. | ||
| pass | ||
| elif dict in self.get_python_type(schema[key]["items"]["type"]): | ||
|
There was a problem hiding this comment. the expression There was a problem hiding this comment. Nope, we can't do that. |
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| self.convert_to_schema_types(record=record_list_item, schema=schema[key]["items"]["properties"]) | ||
| elif not isinstance(record_list_item, self.get_python_type(schema[key]["items"]["type"])): | ||
| record[key] = self.get_python_type(schema[key]["items"]["type"])[0](record_list_item) | ||
| elif not isinstance(value, self.get_python_type(schema[key]["type"])): | ||
| record[key] = self.get_python_type(schema[key]["type"])[0](value) | ||
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| def _read_records(self, params: Mapping[str, Any]) -> Iterable: | ||
| """Wrapper around query to backoff errors. | ||
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@@ -298,7 +354,7 @@ class AdsInsights(FBMarketingIncrementalStream): | |
| MAX_WAIT_TO_START = pendulum.duration(minutes=5) | ||
| MAX_WAIT_TO_FINISH = pendulum.duration(minutes=30) | ||
| MAX_ASYNC_SLEEP = pendulum.duration(minutes=5) | ||
| MAX_ASYNC_JOBS = 10 | ||
| INSIGHTS_RETENTION_PERIOD = pendulum.duration(days=37 * 30) | ||
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| action_breakdowns = ALL_ACTION_BREAKDOWNS | ||
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@@ -325,7 +381,7 @@ def read_records( | |
| # because we query `lookback_window` days before actual cursor we might get records older then cursor | ||
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| for obj in result.get_result(): | ||
| yield self.transform(obj.export_all_data()) | ||
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| def stream_slices(self, stream_state: Mapping[str, Any] = None, **kwargs) -> Iterable[Optional[Mapping[str, Any]]]: | ||
| """Slice by date periods and schedule async job for each period, run at most MAX_ASYNC_JOBS jobs at the same time. | ||
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@@ -356,7 +412,7 @@ def wait_for_job(self, job) -> AdReportRun: | |
| job = job.api_get() | ||
| job_progress_pct = job["async_percent_completion"] | ||
| job_id = job["report_run_id"] | ||
| self.logger.info(f"ReportRunId {job_id} is {job_progress_pct}% complete ({job['async_status']})") | ||
| runtime = pendulum.now() - start_time | ||
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| if job["async_status"] == "Job Completed": | ||
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should we return the 0th element in this method instead of from the calling code?
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get_python_type()function converts types from schema to python types. This means that we must return values only fromtypes_mappingdictionary.