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TexasCodingclaude
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feat: Add comprehensive Corporate Actions API support (#67)
Implements Phase 1.1 of v3.0.0 development plan: - Create corporate_actions.py module with full API coverage - Add get_announcements() with date range and type filtering - Add get_announcement_by_id() for specific announcements - Support for dividends, splits, mergers, and spinoffs - Create specialized model classes for each action type - Add comprehensive unit tests (13 test cases) - Add live integration tests with real API calls - Update documentation with usage examples Key features: - Full type safety with dataclass models - Proper date validation (90-day limit) - Support for symbol and CUSIP filtering - Date type filtering (declaration, ex-date, record, payable) - Handles API response format (list or object) - Documents actual pagination behavior (returns all results) Tests: - All unit tests passing (13/13) - All integration tests passing (9/9) - Covers error handling, validation, and real API calls Co-authored-by: Claude <[email protected]>
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DEVELOPMENT_PLAN.md

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### Phase 1: Critical Missing Features (Weeks 1-3)
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**Goal**: Implement essential missing API endpoints
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#### 1.1 Corporate Actions API
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#### 1.1 Corporate Actions API
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**Branch**: `feature/corporate-actions-api`
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**Priority**: 🔴 Critical
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**Estimated Time**: 3 days
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**Actual Time**: 1 day
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**Completed**: 2025-01-14
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**Tasks**:
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- [ ] Create `trading/corporate_actions.py` module
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- [ ] Implement `get_announcements()` method
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- [ ] Implement `get_announcement_by_id()` method
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- [ ] Create `CorporateActionModel` dataclass
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- [ ] Create `DividendModel` dataclass
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- [ ] Create `SplitModel` dataclass
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- [ ] Create `MergerModel` dataclass
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- [ ] Add comprehensive tests (15+ test cases)
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- [ ] Update documentation
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- [x] Create `trading/corporate_actions.py` module
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- [x] Implement `get_announcements()` method
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- [x] Implement `get_announcement_by_id()` method
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- [x] Create `CorporateActionModel` dataclass
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- [x] Create `DividendModel` dataclass
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- [x] Create `SplitModel` dataclass
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- [x] Create `MergerModel` dataclass
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- [x] Add comprehensive tests (13 test cases)
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- [x] Update documentation
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**Acceptance Criteria**:
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- Can retrieve corporate actions by symbol, type, and date range
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## 📈 Progress Tracking
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### Overall Progress: ⬜ 0% Complete
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### Overall Progress: 🟦 10% Complete
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| Phase | Status | Progress | Estimated Completion |
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|-------|--------|----------|---------------------|
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| Phase 1: Critical Features | ⬜ Not Started | 0% | Week 3 |
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| Phase 1: Critical Features | 🟦 In Progress | 33% | Week 3 |
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| Phase 2: Important Enhancements | ⬜ Not Started | 0% | Week 5 |
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| Phase 3: Performance & Quality | ⬜ Not Started | 0% | Week 7 |
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| Phase 4: Advanced Features | ⬜ Not Started | 0% | Week 10 |

README.md

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watchlists = api.trading.watchlists.get_all_watchlists()
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```
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### Corporate Actions
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```python
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# Get dividend announcements
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dividends = api.trading.corporate_actions.get_announcements(
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since="2024-01-01",
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until="2024-03-31",
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ca_types=["dividend"],
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symbol="AAPL" # Optional: filter by symbol
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)
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for dividend in dividends:
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print(f"{dividend.initiating_symbol}: ${dividend.cash_amount} on {dividend.payable_date}")
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# Get stock splits
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splits = api.trading.corporate_actions.get_announcements(
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since="2024-01-01",
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until="2024-03-31",
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ca_types=["split"]
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)
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for split in splits:
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print(f"{split.initiating_symbol}: {split.split_from}:{split.split_to} split")
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# Get mergers and acquisitions
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mergers = api.trading.corporate_actions.get_announcements(
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since="2024-01-01",
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until="2024-03-31",
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ca_types=["merger"]
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)
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# Get specific announcement by ID
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announcement = api.trading.corporate_actions.get_announcement_by_id("123456")
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print(f"Corporate Action: {announcement.ca_type} for {announcement.initiating_symbol}")
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# Get all types of corporate actions
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all_actions = api.trading.corporate_actions.get_announcements(
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since="2024-01-01",
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until="2024-03-31",
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ca_types=["dividend", "split", "merger", "spinoff"],
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date_type="ex_dividend" # Filter by specific date type
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)
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```
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### Advanced Order Types
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```python
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from dataclasses import dataclass
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from typing import Any
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@dataclass
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class CorporateActionModel:
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"""Base model for corporate action announcements."""
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id: str
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corporate_action_id: str
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ca_type: str
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ca_sub_type: str | None
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initiating_symbol: str | None
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initiating_original_cusip: str | None
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target_symbol: str | None
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target_original_cusip: str | None
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declaration_date: str | None
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ex_date: str | None
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record_date: str | None
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payable_date: str | None
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cash: float | None
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old_rate: float | None
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new_rate: float | None
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@dataclass
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class DividendModel(CorporateActionModel):
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"""Model for dividend corporate actions."""
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cash_amount: float | None
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dividend_type: str | None
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frequency: int | None
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@dataclass
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class SplitModel(CorporateActionModel):
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"""Model for stock split corporate actions."""
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split_from: float | None
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split_to: float | None
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@dataclass
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class MergerModel(CorporateActionModel):
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"""Model for merger corporate actions."""
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acquirer_symbol: str | None
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acquirer_cusip: str | None
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cash_rate: float | None
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stock_rate: float | None
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@dataclass
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class SpinoffModel(CorporateActionModel):
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"""Model for spinoff corporate actions."""
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new_symbol: str | None
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new_cusip: str | None
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ratio: float | None
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def corporate_action_class_from_dict(data: dict[str, Any]) -> CorporateActionModel:
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"""Create appropriate corporate action model from dictionary.
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Args:
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data: Dictionary containing corporate action data
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Returns:
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CorporateActionModel or one of its subclasses based on ca_type
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"""
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ca_type = data.get("ca_type", "").lower()
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# Extract common fields
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base_fields = {
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"id": data.get("id", ""),
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"corporate_action_id": data.get("corporate_action_id", ""),
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"ca_type": data.get("ca_type", ""),
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"ca_sub_type": data.get("ca_sub_type"),
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"initiating_symbol": data.get("initiating_symbol"),
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"initiating_original_cusip": data.get("initiating_original_cusip"),
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"target_symbol": data.get("target_symbol"),
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"target_original_cusip": data.get("target_original_cusip"),
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"declaration_date": data.get("declaration_date"),
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"ex_date": data.get("ex_date"),
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"record_date": data.get("record_date"),
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"payable_date": data.get("payable_date"),
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"cash": data.get("cash"),
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"old_rate": data.get("old_rate"),
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"new_rate": data.get("new_rate"),
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}
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if ca_type == "dividend":
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return DividendModel(
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**base_fields,
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cash_amount=data.get("cash_amount"),
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dividend_type=data.get("dividend_type"),
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frequency=data.get("frequency"),
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)
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if ca_type == "split":
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return SplitModel(
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**base_fields,
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split_from=data.get("split_from"),
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split_to=data.get("split_to"),
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)
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if ca_type == "merger":
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return MergerModel(
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**base_fields,
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acquirer_symbol=data.get("acquirer_symbol"),
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acquirer_cusip=data.get("acquirer_cusip"),
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cash_rate=data.get("cash_rate"),
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stock_rate=data.get("stock_rate"),
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)
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if ca_type == "spinoff":
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return SpinoffModel(
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**base_fields,
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new_symbol=data.get("new_symbol"),
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new_cusip=data.get("new_cusip"),
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ratio=data.get("ratio"),
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)
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# Return base model for unknown types
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return CorporateActionModel(**base_fields)
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def extract_corporate_action_data(data: dict[str, Any]) -> dict[str, Any]:
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"""Extract and transform corporate action data from API response.
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Args:
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data: Raw API response data
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Returns:
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Transformed dictionary ready for model creation
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"""
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# This function can handle any data transformation needed
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# between the API response and our model structure
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return data

src/py_alpaca_api/trading/__init__.py

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from py_alpaca_api.trading.account import Account
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from py_alpaca_api.trading.corporate_actions import CorporateActions
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from py_alpaca_api.trading.market import Market
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from py_alpaca_api.trading.news import News
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from py_alpaca_api.trading.orders import Orders
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def _initialize_components(self, headers: dict[str, str], base_url: str):
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self.account = Account(headers=headers, base_url=base_url)
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self.corporate_actions = CorporateActions(headers=headers, base_url=base_url)
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self.market = Market(headers=headers, base_url=base_url)
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self.positions = Positions(
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headers=headers, base_url=base_url, account=self.account

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