Merge branch 'develop' into feature/james-didier-feedback

2026-10-28 04:52:07 +00:00 · 2024-05-08 13:31:43 +02:00
parent 48e0d65172 99b0bb5287
commit fbceab637c
12 changed files with 1476 additions and 428 deletions
--- a/openbb_platform/core/openbb_core/provider/standard_models/economic_indicators.py
+++ b/openbb_platform/core/openbb_core/provider/standard_models/economic_indicators.py
@@ -3,7 +3,7 @@
 from datetime import date as dateType
 from typing import Optional, Union

-from pydantic import Field, field_validator
+from pydantic import Field

 from openbb_core.provider.abstract.data import Data
 from openbb_core.provider.abstract.query_params import QueryParams
@@ -32,12 +32,6 @@ class EconomicIndicatorsQueryParams(QueryParams):
        description=QUERY_DESCRIPTIONS.get("end_date", ""), default=None
    )

-    @field_validator("symbol", mode="before", check_fields=False)
-    @classmethod
-    def to_upper(cls, v: str) -> str:
-        """Convert field to uppercase."""
-        return v.upper()
-

 class EconomicIndicatorsData(Data):
    """Economic Indicators Data."""
--- a/openbb_platform/extensions/economy/integration/test_economy_api.py
+++ b/openbb_platform/extensions/economy/integration/test_economy_api.py
@@ -576,6 +576,19 @@ def test_economy_fred_regional(params, headers):
                "start_date": "2022-01-01",
                "end_date": "2024-01-01",
                "use_cache": False,
+                "frequency": None,
+            }
+        ),
+        (
+            {
+                "provider": "econdb",
+                "country": None,
+                "symbol": "MAIN",
+                "transform": None,
+                "start_date": "2022-01-01",
+                "end_date": "2024-01-01",
+                "use_cache": False,
+                "frequency": "quarter",
            }
        ),
    ],
--- a/openbb_platform/extensions/economy/integration/test_economy_python.py
+++ b/openbb_platform/extensions/economy/integration/test_economy_python.py
@@ -565,6 +565,19 @@ def test_economy_available_indicators(params, obb):
                "start_date": "2022-01-01",
                "end_date": "2024-01-01",
                "use_cache": False,
+                "frequency": None,
+            }
+        ),
+        (
+            {
+                "provider": "econdb",
+                "country": None,
+                "symbol": "MAIN",
+                "transform": None,
+                "start_date": "2022-01-01",
+                "end_date": "2024-01-01",
+                "use_cache": False,
+                "frequency": "quarter",
            }
        ),
    ],
--- a/openbb_platform/extensions/economy/openbb_economy/economy_router.py
+++ b/openbb_platform/extensions/economy/openbb_economy/economy_router.py
@@ -362,6 +362,10 @@ async def available_indicators(
                "provider": "econdb",
            },
        ),
+        APIEx(
+            description="Use the `main` symbol to get the group of main indicators for a country.",
+            parameters={"provider": "econdb", "symbol": "main", "country": "eu"},
+        ),
    ],
 )
 async def indicators(
--- a/openbb_platform/openbb/assets/reference.json
+++ b/openbb_platform/openbb/assets/reference.json
@@ -4108,7 +4108,7 @@
                "message": null
            },
            "description": "Get economic indicators by country and indicator.",
-            "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.economy.indicators(provider='econdb', symbol='PCOCO')\n# Enter the country as the full name, or iso code. Use `available_indicators()` to get a list of supported indicators from EconDB.\nobb.economy.indicators(symbol='CPI', country='united_states,jp', provider='econdb')\n```\n\n",
+            "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.economy.indicators(provider='econdb', symbol='PCOCO')\n# Enter the country as the full name, or iso code. Use `available_indicators()` to get a list of supported indicators from EconDB.\nobb.economy.indicators(symbol='CPI', country='united_states,jp', provider='econdb')\n# Use the `main` symbol to get the group of main indicators for a country.\nobb.economy.indicators(provider='econdb', symbol='main', country='eu')\n```\n\n",
            "parameters": {
                "standard": [
                    {
@@ -4151,14 +4151,21 @@
                    {
                        "name": "transform",
                        "type": "Literal['toya', 'tpop', 'tusd', 'tpgp']",
-                        "description": "The transformation to apply to the data, default is None.     tpop: Change from previous period     toya: Change from one year ago     tusd: Values as US dollars     tpgp: Values as a percent of GDP    Only 'tpop' and 'toya' are applicable to all indicators.   Applying transformations across multiple indicators/countries   may produce unexpected results.   This is because not all indicators are compatible with all transformations,   and the original units and scale differ between entities.   `tusd` should only be used where values are currencies.",
+                        "description": "The transformation to apply to the data, default is None.   tpop: Change from previous period   toya: Change from one year ago   tusd: Values as US dollars   tpgp: Values as a percent of GDP   Only 'tpop' and 'toya' are applicable to all indicators. Applying transformations across multiple indicators/countries may produce unexpected results.   This is because not all indicators are compatible with all transformations, and the original units and scale differ between entities.   `tusd` should only be used where values are currencies.",
                        "default": null,
                        "optional": true
                    },
+                    {
+                        "name": "frequency",
+                        "type": "Literal['annual', 'quarter', 'month']",
+                        "description": "The frequency of the data, default is 'quarter'. Only valid when 'symbol' is 'main'.",
+                        "default": "quarter",
+                        "optional": true
+                    },
                    {
                        "name": "use_cache",
                        "type": "bool",
-                        "description": "If True, the request will be cached for one day.Using cache is recommended to avoid needlessly requesting the same data.",
+                        "description": "If True, the request will be cached for one day. Using cache is recommended to avoid needlessly requesting the same data.",
                        "default": true,
                        "optional": true
                    }
--- a/openbb_platform/openbb/package/economy.py
+++ b/openbb_platform/openbb/package/economy.py
@@ -1083,19 +1083,21 @@ class ROUTER_economy(Container):
            The provider to use for the query, by default None.
            If None, the provider specified in defaults is selected or 'econdb' if there is
            no default.
-        transform : Literal['toya', 'tpop', 'tusd', 'tpgp']
+        transform : Optional[Literal['toya', 'tpop', 'tusd', 'tpgp']]
            The transformation to apply to the data, default is None.

-                tpop: Change from previous period
-                toya: Change from one year ago
-                tusd: Values as US dollars
-                tpgp: Values as a percent of GDP
+            tpop: Change from previous period
+            toya: Change from one year ago
+            tusd: Values as US dollars
+            tpgp: Values as a percent of GDP

-             Only 'tpop' and 'toya' are applicable to all indicators.     Applying transformations across multiple indicators/countries     may produce unexpected results.
-             This is because not all indicators are compatible with all transformations,     and the original units and scale differ between entities.
-             `tusd` should only be used where values are currencies. (provider: econdb)
+            Only 'tpop' and 'toya' are applicable to all indicators. Applying transformations across multiple indicators/countries may produce unexpected results.
+            This is because not all indicators are compatible with all transformations, and the original units and scale differ between entities.
+            `tusd` should only be used where values are currencies. (provider: econdb)
+        frequency : Literal['annual', 'quarter', 'month']
+            The frequency of the data, default is 'quarter'. Only valid when 'symbol' is 'main'. (provider: econdb)
        use_cache : bool
-            If True, the request will be cached for one day.Using cache is recommended to avoid needlessly requesting the same data. (provider: econdb)
+            If True, the request will be cached for one day. Using cache is recommended to avoid needlessly requesting the same data. (provider: econdb)

        Returns
        -------
@@ -1130,6 +1132,8 @@ class ROUTER_economy(Container):
        >>> obb.economy.indicators(provider='econdb', symbol='PCOCO')
        >>> # Enter the country as the full name, or iso code. Use `available_indicators()` to get a list of supported indicators from EconDB.
        >>> obb.economy.indicators(symbol='CPI', country='united_states,jp', provider='econdb')
+        >>> # Use the `main` symbol to get the group of main indicators for a country.
+        >>> obb.economy.indicators(provider='econdb', symbol='main', country='eu')
        """  # noqa: E501

        return self._run(
--- a/openbb_platform/providers/econdb/openbb_econdb/models/economic_indicators.py
+++ b/openbb_platform/providers/econdb/openbb_econdb/models/economic_indicators.py
@@ -3,7 +3,7 @@
 # pylint: disable=unused-argument

 from datetime import datetime, timedelta
-from typing import Any, Dict, List, Literal, Optional
+from typing import Any, Dict, List, Literal, Optional, Union
 from warnings import warn

 from openbb_core.provider.abstract.annotated_result import AnnotatedResult
@@ -14,6 +14,7 @@ from openbb_core.provider.standard_models.economic_indicators import (
 )
 from openbb_core.provider.utils.errors import EmptyDataError
 from openbb_econdb.utils import helpers
+from openbb_econdb.utils.main_indicators import get_main_indicators
 from pandas import DataFrame, concat
 from pydantic import Field, field_validator

@@ -28,27 +29,32 @@ class EconDbEconomicIndicatorsQueryParams(EconomicIndicatorsQueryParams):
        "country": ["multiple_items_allowed"],
    }

-    transform: Literal["toya", "tpop", "tusd", "tpgp"] = Field(
+    transform: Union[None, Literal["toya", "tpop", "tusd", "tpgp"]] = Field(
        default=None,
        description="The transformation to apply to the data, default is None."
        + "\n"
-        + "\n        tpop: Change from previous period"
-        + "\n        toya: Change from one year ago"
-        + "\n        tusd: Values as US dollars"
-        + "\n        tpgp: Values as a percent of GDP"
+        + "\n    tpop: Change from previous period"
+        + "\n    toya: Change from one year ago"
+        + "\n    tusd: Values as US dollars"
+        + "\n    tpgp: Values as a percent of GDP"
        + "\n"
        + "\n"
-        + "     Only 'tpop' and 'toya' are applicable to all indicators."
-        + "     Applying transformations across multiple indicators/countries"
-        + "     may produce unexpected results."
-        + "\n     This is because not all indicators are compatible with all transformations,"
-        + "     and the original units and scale differ between entities."
-        + "\n     `tusd` should only be used where values are currencies.",
+        + "    Only 'tpop' and 'toya' are applicable to all indicators."
+        + " Applying transformations across multiple indicators/countries"
+        + " may produce unexpected results."
+        + "\n    This is because not all indicators are compatible with all transformations,"
+        + " and the original units and scale differ between entities."
+        + "\n    `tusd` should only be used where values are currencies.",
+    )
+    frequency: Literal["annual", "quarter", "month"] = Field(
+        default="quarter",
+        description="The frequency of the data, default is 'quarter'."
+        + " Only valid when 'symbol' is 'main'.",
    )
    use_cache: bool = Field(
        default=True,
        description="If True, the request will be cached for one day."
-        + "Using cache is recommended to avoid needlessly requesting the same data.",
+        + " Using cache is recommended to avoid needlessly requesting the same data.",
    )

    @field_validator("country", mode="before", check_fields=False)
@@ -89,12 +95,20 @@ class EconDbEconomicIndicatorsQueryParams(EconomicIndicatorsQueryParams):
    @classmethod
    def validate_symbols(cls, v):
        """Validate each symbol to check if it is a valid indicator."""
+        if not v:
+            v = "main"
        symbols = v if isinstance(v, list) else v.split(",")
        new_symbols: List[str] = []
        for symbol in symbols:
            if "_" in symbol:
                new_symbols.append(symbol)
                continue
+            if symbol.upper() == "MAIN":
+                if len(symbols) > 1:
+                    raise ValueError(
+                        "The 'main' indicator cannot be combined with other indicators."
+                    )
+                return symbol
            if not any(
                (
                    symbol.upper().startswith(indicator)
@@ -135,6 +149,15 @@ class EconDbEconomicIndicatorsFetcher(
            ).date()
        if new_params.get("end_date") is None:
            new_params["end_date"] = datetime.today().date()
+        countries = new_params.get("country")
+        if (
+            countries is not None
+            and len(countries.split(",")) > 1
+            and new_params.get("symbol", "").upper() == "MAIN"
+        ):
+            raise ValueError(
+                "The 'main' indicator cannot be combined with multiple countries."
+            )
        return EconDbEconomicIndicatorsQueryParams(**new_params)

    @staticmethod
@@ -144,6 +167,16 @@ class EconDbEconomicIndicatorsFetcher(
        **kwargs: Any,
    ) -> List[Dict]:
        """Extract the data."""
+        if query.symbol.upper() == "MAIN":
+            country = query.country.upper() if query.country else "US"
+            return await get_main_indicators(
+                country,
+                query.start_date.strftime("%Y-%m-%d"),  # type: ignore
+                query.end_date.strftime("%Y-%m-%d"),  # type: ignore
+                query.frequency,
+                query.transform,
+                query.use_cache,
+            )
        token = credentials.get("econdb_api_key", "")  # type: ignore
        # Attempt to create a temporary token if one is not supplied.
        if not token:
@@ -299,6 +332,14 @@ class EconDbEconomicIndicatorsFetcher(
        **kwargs: Any,
    ) -> AnnotatedResult[List[EconDbEconomicIndicatorsData]]:
        """Transform the data."""
+        if query.symbol.upper() == "MAIN":
+            return AnnotatedResult(
+                result=[
+                    EconDbEconomicIndicatorsData.model_validate(r)
+                    for r in data[0].get("records", [])
+                ],
+                metadata={query.country: data[0].get("metadata", [])},
+            )
        output = DataFrame()
        metadata = {}
        for d in data:
--- a/openbb_platform/providers/econdb/openbb_econdb/utils/main_indicators.py
+++ b/openbb_platform/providers/econdb/openbb_econdb/utils/main_indicators.py
@@ -0,0 +1,227 @@
+"""Main Indicators"""
+
+from datetime import datetime, timedelta
+from typing import Dict, List, Literal
+
+from aiohttp_client_cache import SQLiteBackend
+from aiohttp_client_cache.session import CachedSession
+from numpy import arange
+from openbb_core.app.utils import get_user_cache_directory
+from openbb_core.provider.utils.helpers import amake_request
+from openbb_econdb.utils.helpers import COUNTRY_MAP, THREE_LETTER_ISO_MAP
+from pandas import Categorical, DataFrame, Series, concat, to_datetime
+
+trends_transform_labels_dict = {
+    1: "Change from previous period.",
+    2: "Change from one year ago.",
+    3: "Level",
+    9: "Level (USD)",
+}
+trends_freq_dict = {
+    "annual": "Y",
+    "quarter": "Q",
+    "month": "M",
+}
+trends_transform_dict = {
+    "tpop": 1,
+    "toya": 2,
+    "level": 3,
+    "tusd": 9,
+    None: 3,
+}
+
+main_indicators_order = [
+    "RGDP",
+    "RPRC",
+    "RPUC",
+    "RGFCF",
+    "REXP",
+    "RIMP",
+    "GDP",
+    "PRC",
+    "PUC",
+    "GFCF",
+    "EXP",
+    "IMP",
+    "CPI",
+    "PPI",
+    "CORE",
+    "URATE",
+    "EMP",
+    "ACPOP",
+    "RETA",
+    "CONF",
+    "IP",
+    "CP",
+    "GBAL",
+    "GREV",
+    "GSPE",
+    "GDEBT",
+    "CA",
+    "TB",
+    "NIIP",
+    "IIPA",
+    "IIPL",
+    "Y10YD",
+    "M3YD",
+    "HOU",
+    "OILPROD",
+    "POP",
+]
+
+
+async def fetch_data(url, use_cache: bool = True):
+    """Fetch the data with or without the cached session object."""
+    if use_cache is True:
+        cache_dir = f"{get_user_cache_directory()}/http/econdb_main_indicators"
+        async with CachedSession(
+            cache=SQLiteBackend(cache_dir, expire_after=3600 * 24)
+        ) as session:
+            try:
+                response = await amake_request(url, session=session)
+            finally:
+                await session.close()
+    else:
+        response = await amake_request(url)
+
+    return response
+
+
+async def get_main_indicators(  # pylint: disable=R0913,R0914,R0915
+    country: str = "US",
+    start_date: str = (datetime.now() - timedelta(weeks=52 * 3)).strftime("%Y-%m-%d"),
+    end_date: str = datetime.now().strftime("%Y-%m-%d"),
+    frequency: Literal["annual", "quarter", "month"] = "quarter",
+    transform: Literal["tpop", "toya", "level", "tusd", None] = "toya",
+    use_cache: bool = True,
+) -> List[Dict]:
+    """Get the main indicators for a given country."""
+    freq = trends_freq_dict.get(frequency)
+    transform = trends_transform_dict.get(transform)  # type: ignore
+    if len(country) == 3:
+        country = THREE_LETTER_ISO_MAP.get(country.upper())
+        if not country:
+            raise ValueError(f"Error: Invalid country code -> {country}")
+    if country in COUNTRY_MAP:
+        country = COUNTRY_MAP.get(country)
+    if len(country) != 2:
+        raise ValueError(
+            f"Error: Please supply a 2-Letter ISO Country Code -> {country}"
+        )
+    if country not in COUNTRY_MAP.values():
+        raise ValueError(f"Error: Invalid country code -> {country}")
+    parents_url = (
+        "https://www.econdb.com/trends/country_forecast/"
+        + f"?country={country}&freq={freq}&transform={transform}"
+        + f"&dateStart={start_date}&dateEnd={end_date}"
+    )
+    r = await fetch_data(parents_url, use_cache)
+    row_names = r.get("row_names")
+    row_symbols = []
+    row_is_parent = []
+    row_symbols = [d["code"] for d in row_names]
+    row_is_parent = [d["is_parent"] for d in row_names]
+    parent_map = {d["code"]: d["is_parent"] for d in row_names}
+    units_col = r.get("units_col")
+    metadata = r.get("footnote")
+    row_names = r.get("row_names")
+    row_name_map = {d["code"]: d["verbose"].title() for d in row_names}
+    row_units_dict = dict(zip(row_symbols, units_col))
+    units_df = concat([Series(units_col), Series(row_is_parent)], axis=1)
+    units_df.columns = ["units", "is_parent"]
+    df = DataFrame(r["data"]).set_index("indicator")
+    df = df.pivot(columns="obs_time", values="obs_value").filter(
+        items=row_symbols, axis=0
+    )
+    df["units"] = df.index.map(row_units_dict.get)
+    df["is_parent"] = df.index.map(parent_map.get)
+    df = df.set_index("is_parent", append=True)
+
+    async def get_children(  # pylint: disable=R0913
+        parent, country, freq, transform, start_date, end_date, use_cache
+    ) -> DataFrame:
+        """Get the child elements for the main indicator symbols."""
+        children_url = (
+            "https://www.econdb.com/trends/get_topic_children/"
+            + f"?country={country}&agency=3&freq={freq}&transform={transform}"
+            + f"&parent_id={parent}&dateStart={start_date}&dateEnd={end_date}"
+        )
+        child_r = await fetch_data(children_url, use_cache)
+        row_names = child_r.get("row_names")
+        row_symbols = []
+        row_symbols = [d["code"] for d in row_names]
+        units_col = child_r.get("units_col")
+        metadata.extend(child_r.get("footnote"))
+        row_names = child_r.get("row_names")
+        row_name_map.update({d["code"]: d["verbose"].title() for d in row_names})
+        row_units_dict = dict(zip(row_symbols, units_col))
+        child_df = DataFrame(child_r["data"]).set_index("indicator")
+        child_df = child_df.pivot(columns="obs_time", values="obs_value").filter(
+            items=row_symbols, axis=0
+        )
+        child_df["units"] = child_df.index.map(row_units_dict.get)
+        # Set 'units' to 'Index' when the index is 'CONF'
+        if "CONF" in child_df.index and child_df.loc["CONF", "units"] == "..":
+            child_df.loc["CONF", "units"] = "Index"
+        child_df["is_parent"] = parent
+        child_df = child_df.reset_index()
+        child_df["name"] = child_df["indicator"].map(row_name_map)
+        return child_df
+
+    new_df = df.reset_index()
+    has_children = new_df[
+        new_df["is_parent"] == True  # noqa pylint: disable=C0121
+    ].indicator.to_list()
+
+    async def append_children(  # pylint: disable=R0913
+        df, parent, country, freq, transform, start_date, end_date, use_cache
+    ):
+        """Get the child element and insert it below the parent row."""
+        temp = DataFrame()
+        try:
+            children = await get_children(
+                parent, country, freq, transform, start_date, end_date, use_cache
+            )
+        except Exception as _:  # pylint: disable=W0718
+            return df
+        idx = df[df["indicator"] == parent].index[0]
+        df1 = df[df.index <= idx]
+        df2 = df[df.index > idx]
+        temp = concat([df1, children, df2])
+        return temp
+
+    # Get the child elements for each parent.
+    for parent in has_children:
+        new_df = await append_children(
+            new_df, parent, country, freq, transform, start_date, end_date, use_cache
+        )
+
+    # Cast the shape, specify the order and flatten for output.
+    new_df["name"] = new_df["indicator"].map(row_name_map)
+    new_df.set_index(["indicator", "is_parent", "name", "units"], inplace=True)
+    new_df.columns = new_df.columns
+    new_df.columns = [to_datetime(d).strftime("%Y-%m-%d") for d in new_df.columns]
+    for col in new_df.columns:
+        new_df[col] = new_df[col].astype(str).str.replace(" ", "").astype(float)
+    new_df = new_df.apply(lambda row: row / 100 if "%" in row.name[3] else row, axis=1)
+    new_df = new_df.iloc[:, ::-1]
+    new_df = new_df.fillna("N/A").replace("N/A", None)
+    output = new_df
+    output.columns.name = "date"
+    output = output.reset_index()
+    filtered_df = output[output["indicator"].isin(main_indicators_order)].copy()
+    filtered_df["indicator"] = Categorical(
+        filtered_df["indicator"], categories=main_indicators_order, ordered=True
+    )
+    filtered_df.sort_values("indicator", inplace=True)
+    output = filtered_df
+    output.set_index(["indicator", "is_parent", "name", "units"], inplace=True)
+    output["index_order"] = arange(len(output))
+    output = output.reset_index().melt(
+        id_vars=["index_order", "indicator", "is_parent", "name", "units"],
+        var_name="date",
+        value_name="value",
+    )
+    output = output.rename(columns={"indicator": "symbol_root"})
+    results = {"records": output.to_dict(orient="records"), "metadata": metadata}
+    return [results]
--- a/openbb_platform/providers/econdb/tests/record/http/test_econdb_fetchers/test_econdb_economic_indicators_main_fetcher.yaml
+++ b/openbb_platform/providers/econdb/tests/record/http/test_econdb_fetchers/test_econdb_economic_indicators_main_fetcher.yaml
@@ -0,0 +1,725 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept:
+      - application/json
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+    method: GET
+    uri: https://www.econdb.com/trends/country_forecast/?country=JP&dateEnd=2024-04-01&dateStart=2022-01-01&freq=Q&transform=3
+  response:
+    body:
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+        rpDEG9WB/+m/4Gzz6f31x7hO9fH0vbnfmsxCF4AHF0Mdy19LjffyH6/fNd8caqpfUm/4AQ2kfl0B
+        DQAA
+    headers:
+      CF-Cache-Status:
+      - DYNAMIC
+      CF-RAY:
+      - 880296096a50841d-YVR
+      Connection:
+      - keep-alive
+      Content-Encoding:
+      - gzip
+      Content-Type:
+      - application/json
+      Date:
+      - Tue, 07 May 2024 16:28:57 GMT
+      NEL:
+      - '{"success_fraction":0,"report_to":"cf-nel","max_age":604800}'
+      Referrer-Policy:
+      - same-origin
+      Report-To:
+      - '{"endpoints":[{"url":"https:\/\/a.nel.cloudflare.com\/report\/v4?s=BNX3JJAMLdOl%2FkX9f72Lltr6WkFkP%2FfTRETi7wrLufB5mI73uEJozK3Rwf33l4umU%2FGhvk43CI2Fzyaf6TD025CXxhjfjwPuM9BDd3MKeEC2LfFyNExeeXyxzMvPJHNE%2FaEOL9fdLr9KAq7d"}],"group":"cf-nel","max_age":604800}'
+      Server:
+      - cloudflare
+      Transfer-Encoding:
+      - chunked
+      Vary:
+      - Accept-Encoding
+      - Origin
+      X-Content-Type-Options:
+      - nosniff
+      X-Frame-Options:
+      - DENY
+    status:
+      code: 200
+      message: OK
+version: 1
--- a/openbb_platform/providers/econdb/tests/test_econdb_fetchers.py
+++ b/openbb_platform/providers/econdb/tests/test_econdb_fetchers.py
@@ -58,3 +58,21 @@ def test_econdb_economic_indicators_fetcher(credentials=test_credentials):
    fetcher = EconDbEconomicIndicatorsFetcher()
    result = fetcher.test(params, credentials)
    assert result is None
+
+
+@pytest.mark.record_http
+def test_econdb_economic_indicators_main_fetcher(credentials=test_credentials):
+    """Test EconDB Economic Indicators Fetcher with main."""
+    params = {
+        "symbol": "main",
+        "country": "jp",
+        "start_date": datetime.date(2022, 1, 1),
+        "end_date": datetime.date(2024, 4, 1),
+        "transform": None,
+        "frequency": "quarter",
+        "use_cache": False,
+    }
+
+    fetcher = EconDbEconomicIndicatorsFetcher()
+    result = fetcher.test(params, credentials)
+    assert result is None
--- a/openbb_platform/providers/polygon/openbb_polygon/models/currency_pairs.py
+++ b/openbb_platform/providers/polygon/openbb_polygon/models/currency_pairs.py
@@ -126,12 +126,13 @@ class PolygonCurrencyPairsFetcher(
            f"https://api.polygon.io/v3/reference/"
            f"tickers?{query.symbol}&market=fx&date={query.date}&"
            f"search={query.search}&active={query.active}&order={query.order}&"
-            f"limit={query.limit}&sort={query.sort}&apiKey={api_key}"
+            f"limit={query.limit}"
        )
-
+        if query.sort:
+            request_url += f"&sort={query.sort}"
+        request_url = f"{request_url}&apiKey={api_key}"
        data = {"next_url": request_url}
        all_data: List[Dict] = []
-
        while "next_url" in data:
            data = await get_data(request_url, **kwargs)

--- a/openbb_platform/providers/polygon/tests/record/http/test_polygon_fetchers/test_polygon_currency_pairs_fetcher.yaml
+++ b/openbb_platform/providers/polygon/tests/record/http/test_polygon_fetchers/test_polygon_currency_pairs_fetcher.yaml
@@ -3,7 +3,7 @@ interactions:
    body: null
    headers:
      Accept:
-      - '*/*'
+      - application/json
      Accept-Encoding:
      - gzip, deflate
      Connection:
@@ -13,278 +13,279 @@ interactions:
  response:
    body:
      string: !!binary |
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+        5t51FzHey8f7fSUkSUWDjKZSO5hJ2+UKTvYk/naZ78NJlorGsDSV+sF0XG7ghLIV7Lgg/pxAKWqM
+        zBSqH8/clTA72cMTjRKaAFsR5uNaWGqalqPr1A5Hae5hhYOis0dAIEPXZJrmjBZ7RkyZl6kkJQ0q
+        ukz9aMauuypE7U4CYrmvcgqfAt37DG5JVdshXFeqHdCs89lVIrSSvobH2zwpqo/MIlQ/nknFCiqM
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+        15tGmkGWp42rRhHkFuRvOUmzX2jcuGr8SP7yFwI/voc/v//yjsDix7/++afFXwm8f/fTT3/56T+O
+        h8Alz1nWuPrxz+/+8f8BAAD//07s25ishQEA
    headers:
      Connection:
      - keep-alive
@@ -447,7 +448,7 @@ interactions:
      Content-Type:
      - application/json
      Date:
-      - Tue, 26 Sep 2023 19:08:21 GMT
+      - Tue, 07 May 2024 16:14:03 GMT
      Server:
      - nginx/1.19.2
      Strict-Transport-Security:
@@ -459,7 +460,7 @@ interactions:
      X-Item-Count:
      - '351'
      X-Request-Id:
-      - 88d525f2e68b02389c99a89224f9dbce
+      - 3e66ea32a52f1eab3957b9ea2177678c
    status:
      code: 200
      message: OK