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38 changes: 38 additions & 0 deletions docs/qa/gates/1.5-fyers-adapter-portfolio.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,38 @@
schema: 1
story: '1.5'
story_title: 'Fyers Adapter - Portfolio'
gate: PASS
status_reason: 'The implementation is of high quality, well-tested, and meets all acceptance criteria. No major issues were found.'
reviewer: 'Quinn (Test Architect)'
updated: '2025-10-03T14:30:00Z'
quality_score: 100
expires: '2025-10-17T14:30:00Z'

evidence:
tests_reviewed: 11
risks_identified: 0
trace:
ac_covered: [1, 2, 3, 4]
ac_gaps: []

nfr_validation:
security:
status: PASS
notes: 'CSRF protection and hashing are properly implemented.'
performance:
status: PASS
notes: 'Asynchronous HTTP client is used for non-blocking I/O.'
reliability:
status: PASS
notes: 'API errors are handled and raised as standardized exceptions.'
maintainability:
status: PASS
notes: 'The code is clean, well-structured, and follows project standards.'

recommendations:
immediate: []
future:
- action: 'Consider adding tests for edge cases like empty holdings or funds in the API response.'
refs: ['tests/adapters/test_fyers.py']
- action: 'Confirm from Fyers API documentation if day_pnl is available.'
refs: ['src/ordo/adapters/fyers.py']
64 changes: 59 additions & 5 deletions docs/stories/story-1.5.md
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
# Story 1.5: Fyers Adapter - Portfolio

## Status
Draft
Done

## Story
**As a** developer,
Expand All @@ -15,10 +15,18 @@ Draft
4. The implementation correctly handles API errors and returns a standardized `ApiError`.

## Tasks / Subtasks
- [ ] Implement the `get_portfolio` method in `src/ordo/adapters/fyers.py`.
- [ ] Add logic to fetch data from all required Fyers endpoints.
- [ ] Write the data mapping logic to transform the Fyers response into the standard `Portfolio` model.
- [ ] Add error handling for Fyers API errors.
- [x] Implement the `get_portfolio` method in `src/ordo/adapters/fyers.py`.
- [x] Add logic to fetch data from all required Fyers endpoints.
- [x] Write the data mapping logic to transform the Fyers response into the standard `Portfolio` model.
- [x] Add error handling for Fyers API errors.

## File List

- `src/ordo/adapters/fyers.py`
- `src/ordo/models/api/portfolio.py`
- `src/ordo/exceptions.py`
- `src/ordo/models/api/errors.py`
- `tests/adapters/test_fyers.py`

## Dev Notes
- **Data Mapping:** This is a critical step in fulfilling the core goal of unifying broker APIs. The mapping must be accurate and robust.
Expand All @@ -31,3 +39,49 @@ Draft
| Date | Version | Description | Author |
| :--- | :--- | :--- | :--- |
| 2025-09-22 | 1.0 | Initial draft | Sarah (PO) |

## QA Results

### Review Date: 2025-10-03

### Reviewed By: Quinn (Test Architect)

### Code Quality Assessment

The implementation of the `get_portfolio` method in the `FyersAdapter` is of high quality. The code is clean, well-structured, and follows the project's coding standards. It correctly implements the adapter pattern, uses async/await for non-blocking I/O, and handles errors gracefully by raising standardized exceptions. The use of Pydantic models for data transfer objects is also a good practice.

### Refactoring Performed

No refactoring was performed as the code is already in good shape.

### Compliance Check

- Coding Standards: ✓
- Project Structure: ✓
- Testing Strategy: ✓
- All ACs Met: ✓

### Improvements Checklist

- [ ] Consider adding tests for edge cases like empty holdings or funds in the API response.
- [ ] It would be beneficial to double-check the Fyers API documentation to confirm that `day_pnl` is truly unavailable. If it is available through another endpoint or calculation, the adapter should be updated to reflect that.

### Security Review

No security concerns were found. The implementation correctly uses CSRF protection and hashes sensitive information where necessary.

### Performance Considerations

The use of an asynchronous HTTP client (`httpx`) ensures that the adapter is non-blocking and performant. No performance issues were found.

### Files Modified During Review

None.

### Gate Status

Gate: PASS → docs/qa/gates/1.5-fyers-adapter-portfolio.yml

### Recommended Status

✓ Ready for Done
92 changes: 90 additions & 2 deletions src/ordo/adapters/fyers.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,8 @@
from pydantic import BaseModel, ValidationError

from ordo.adapters.base import IBrokerAdapter
from ordo.models.api.errors import CSRFError
from ordo.models.api.errors import ApiError, ApiException, CSRFError
from ordo.models.api.portfolio import Portfolio, Holding, Funds
from ordo.security.session import SessionManager
from ordo.config import settings

Expand Down Expand Up @@ -154,4 +155,91 @@ async def get_portfolio(self, session_data: Dict[str, Any]) -> Dict[str, Any]:
"""
Retrieves the portfolio from Fyers.
"""
raise NotImplementedError
config = FyersConfig(**session_data["credentials"])
access_token = self.session_manager.get_session(config.app_id, "access_token")

if not access_token:
raise ValueError("No access token found in session.")

headers = {"Authorization": f"{config.app_id}:{access_token}"}
holdings_url = f"{self.base_url}/holdings"
funds_url = f"{self.base_url}/funds"

async with httpx.AsyncClient() as client:
try:
holdings_response = await client.get(holdings_url, headers=headers)
holdings_response.raise_for_status()
holdings_data = holdings_response.json()
if holdings_data.get("s") != "ok":
raise ApiException(
ApiError(
error_code="BROKER_API_ERROR",
message=f"Fyers holdings error: {holdings_data.get('message', 'Unknown error')}",
details={"response": holdings_data},
)
)

funds_response = await client.get(funds_url, headers=headers)
funds_response.raise_for_status()
funds_data = funds_response.json()
if funds_data.get("s") != "ok":
raise ApiException(
ApiError(
error_code="BROKER_API_ERROR",
message=f"Fyers funds error: {funds_data.get('message', 'Unknown error')}",
details={"response": funds_data},
)
)

except httpx.HTTPStatusError as e:
raise ApiException(
ApiError(
error_code="BROKER_API_ERROR",
message=f"Fyers API error: {e.response.text}",
details={"status_code": e.response.status_code},
)
)
except ApiException:
raise
except Exception as e:
raise ApiException(
ApiError(
error_code="BROKER_REQUEST_FAILED",
message=f"Failed to retrieve portfolio from Fyers: {e}",
)
)

# Transform holdings
holdings = [
Holding(
symbol=h["symbol"],
quantity=h["quantity"],
ltp=h["ltp"],
avg_price=h["costPrice"],
pnl=h["pl"],
day_pnl=0, # Not available in Fyers API
value=h["marketVal"],
)
for h in holdings_data.get("holdings", [])
Comment thread
coderabbitai[bot] marked this conversation as resolved.
]

# Transform funds
funds_map = {item["title"]: item for item in funds_data.get("fund_limit", [])}
funds = Funds(
available_balance=funds_map.get("Available Balance", {}).get(
"equityAmount", 0
),
margin_used=funds_map.get("Utilized Amount", {}).get("equityAmount", 0),
total_balance=funds_map.get("Total Balance", {}).get("equityAmount", 0),
)

# Create portfolio
portfolio = Portfolio(
holdings=holdings,
funds=funds,
total_pnl=holdings_data.get("overall", {}).get("total_pl", 0),
total_day_pnl=0, # Not available in Fyers API
total_value=holdings_data.get("overall", {}).get("total_current_value", 0),
)

return portfolio.model_dump()
4 changes: 4 additions & 0 deletions src/ordo/exceptions.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,4 @@
class OrdoError(Exception):
"""Base exception for all Ordo errors."""

pass
9 changes: 8 additions & 1 deletion src/ordo/models/api/errors.py
Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
from pydantic import BaseModel, Field
from typing import Any, Dict, Optional
import uuid
from ordo.exceptions import OrdoError


class ApiError(BaseModel):
Expand All @@ -18,7 +19,13 @@ class ApiError(BaseModel):
)


class SecurityException(Exception):
class ApiException(OrdoError):
def __init__(self, error: ApiError):
self.error = error
super().__init__(error.message)


class SecurityException(OrdoError):
"""Base exception for security-related errors."""

pass
Expand Down
42 changes: 42 additions & 0 deletions src/ordo/models/api/portfolio.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
from pydantic import BaseModel, Field
from typing import List


class Holding(BaseModel):
symbol: str = Field(..., description="Trading symbol of the instrument.")
quantity: int = Field(..., description="The quantity of the instrument held.")
ltp: float = Field(..., description="Last Traded Price of the instrument.")
avg_price: float = Field(
..., description="Average acquisition price of the instrument."
)
pnl: float = Field(..., description="Profit and Loss for the holding.")
day_pnl: float = Field(..., description="Profit and Loss for the current day.")
value: float = Field(
..., description="Current market value of the holding (quantity * ltp)."
)

Comment on lines +5 to +17

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🧹 Nitpick | 🔵 Trivial

Consider validating or computing derived fields.

The value field description states it should be "quantity * ltp", and pnl logically should be (ltp - avg_price) * quantity. However, both are required input fields with no validation or computation to enforce consistency.

Consider one of these approaches:

  1. Use Pydantic's @computed_field to derive value and pnl from the base fields.
  2. Add a @model_validator to verify the incoming values match the expected formulas.
  3. If the broker API returns these pre-calculated values and they might legitimately differ (e.g., due to fees, splits, or rounding), document why manual values are needed.

Option 1: Make value and pnl computed fields (if broker doesn't return them):

+from pydantic import computed_field

 class Holding(BaseModel):
     symbol: str = Field(..., description="Trading symbol of the instrument.")
     quantity: int = Field(..., description="The quantity of the instrument held.")
     ltp: float = Field(..., description="Last Traded Price of the instrument.")
     avg_price: float = Field(
         ..., description="Average acquisition price of the instrument."
     )
-    pnl: float = Field(..., description="Profit and Loss for the holding.")
     day_pnl: float = Field(..., description="Profit and Loss for the current day.")
-    value: float = Field(
-        ..., description="Current market value of the holding (quantity * ltp)."
-    )
+
+    @computed_field
+    @property
+    def value(self) -> float:
+        """Current market value of the holding (quantity * ltp)."""
+        return self.quantity * self.ltp
+
+    @computed_field
+    @property
+    def pnl(self) -> float:
+        """Profit and Loss for the holding."""
+        return (self.ltp - self.avg_price) * self.quantity

Option 2: Add validation (if broker returns these values and you want to verify):

+from pydantic import model_validator

 class Holding(BaseModel):
     symbol: str = Field(..., description="Trading symbol of the instrument.")
     quantity: int = Field(..., description="The quantity of the instrument held.")
     ltp: float = Field(..., description="Last Traded Price of the instrument.")
     avg_price: float = Field(
         ..., description="Average acquisition price of the instrument."
     )
     pnl: float = Field(..., description="Profit and Loss for the holding.")
     day_pnl: float = Field(..., description="Profit and Loss for the current day.")
     value: float = Field(
         ..., description="Current market value of the holding (quantity * ltp)."
     )
+
+    @model_validator(mode='after')
+    def validate_computed_fields(self) -> 'Holding':
+        expected_value = self.quantity * self.ltp
+        expected_pnl = (self.ltp - self.avg_price) * self.quantity
+        if abs(self.value - expected_value) > 0.01:
+            raise ValueError(f"value {self.value} does not match quantity * ltp = {expected_value}")
+        if abs(self.pnl - expected_pnl) > 0.01:
+            raise ValueError(f"pnl {self.pnl} does not match (ltp - avg_price) * quantity = {expected_pnl}")
+        return self
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
class Holding(BaseModel):
symbol: str = Field(..., description="Trading symbol of the instrument.")
quantity: int = Field(..., description="The quantity of the instrument held.")
ltp: float = Field(..., description="Last Traded Price of the instrument.")
avg_price: float = Field(
..., description="Average acquisition price of the instrument."
)
pnl: float = Field(..., description="Profit and Loss for the holding.")
day_pnl: float = Field(..., description="Profit and Loss for the current day.")
value: float = Field(
..., description="Current market value of the holding (quantity * ltp)."
)
from pydantic import BaseModel, Field, computed_field
class Holding(BaseModel):
symbol: str = Field(..., description="Trading symbol of the instrument.")
quantity: int = Field(..., description="The quantity of the instrument held.")
ltp: float = Field(..., description="Last Traded Price of the instrument.")
avg_price: float = Field(
..., description="Average acquisition price of the instrument."
)
day_pnl: float = Field(..., description="Profit and Loss for the current day.")
@computed_field
@property
def value(self) -> float:
"""Current market value of the holding (quantity * ltp)."""
return self.quantity * self.ltp
@computed_field
@property
def pnl(self) -> float:
"""Profit and Loss for the holding."""
return (self.ltp - self.avg_price) * self.quantity
Suggested change
class Holding(BaseModel):
symbol: str = Field(..., description="Trading symbol of the instrument.")
quantity: int = Field(..., description="The quantity of the instrument held.")
ltp: float = Field(..., description="Last Traded Price of the instrument.")
avg_price: float = Field(
..., description="Average acquisition price of the instrument."
)
pnl: float = Field(..., description="Profit and Loss for the holding.")
day_pnl: float = Field(..., description="Profit and Loss for the current day.")
value: float = Field(
..., description="Current market value of the holding (quantity * ltp)."
)
from pydantic import BaseModel, Field, model_validator
class Holding(BaseModel):
symbol: str = Field(..., description="Trading symbol of the instrument.")
quantity: int = Field(..., description="The quantity of the instrument held.")
ltp: float = Field(..., description="Last Traded Price of the instrument.")
avg_price: float = Field(
..., description="Average acquisition price of the instrument."
)
pnl: float = Field(..., description="Profit and Loss for the holding.")
day_pnl: float = Field(..., description="Profit and Loss for the current day.")
value: float = Field(
..., description="Current market value of the holding (quantity * ltp)."
)
@model_validator(mode='after')
def validate_computed_fields(self) -> "Holding":
expected_value = self.quantity * self.ltp
expected_pnl = (self.ltp - self.avg_price) * self.quantity
if abs(self.value - expected_value) > 0.01:
raise ValueError(f"value {self.value} does not match quantity * ltp = {expected_value}")
if abs(self.pnl - expected_pnl) > 0.01:
raise ValueError(f"pnl {self.pnl} does not match (ltp - avg_price) * quantity = {expected_pnl}")
return self
🤖 Prompt for AI Agents
In src/ordo/models/api/portfolio.py around lines 5 to 17, the Holding model
currently requires externally-provided pnl and value though they are derivable
from quantity, ltp and avg_price; update the model so these fields are either
computed or validated: choose one of two fixes—(A) make pnl and value computed
fields using Pydantic's @computed_field (compute value = quantity * ltp and pnl
= (ltp - avg_price) * quantity) and remove them from required input, or (B) add
a @model_validator that checks incoming pnl and value match the computed
formulas (within a small epsilon for rounding) and raise a ValidationError if
they differ; implement the chosen approach and update field descriptions
accordingly (or add a comment explaining why manual values are accepted if
broker-provided).


class Funds(BaseModel):
available_balance: float = Field(
..., description="The total available balance in the account."
)
margin_used: float = Field(..., description="The total margin utilized for trades.")
total_balance: float = Field(
..., description="The total balance in the account (available + margin)."
)

Comment on lines +19 to +27

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🧹 Nitpick | 🔵 Trivial

Consider computing or validating total_balance.

The total_balance description states it should be "available + margin", but it's a required input field with no validation. This creates potential inconsistency if the provided value doesn't match available_balance + margin_used.

Consider:

  1. Making total_balance a computed field.
  2. Adding validation to ensure consistency.
  3. If the broker API returns a pre-calculated total_balance that might legitimately differ, document why.

Option 1: Make total_balance a computed field:

+from pydantic import computed_field

 class Funds(BaseModel):
     available_balance: float = Field(
         ..., description="The total available balance in the account."
     )
     margin_used: float = Field(..., description="The total margin utilized for trades.")
-    total_balance: float = Field(
-        ..., description="The total balance in the account (available + margin)."
-    )
+
+    @computed_field
+    @property
+    def total_balance(self) -> float:
+        """The total balance in the account (available + margin)."""
+        return self.available_balance + self.margin_used

Option 2: Add validation:

+from pydantic import model_validator

 class Funds(BaseModel):
     available_balance: float = Field(
         ..., description="The total available balance in the account."
     )
     margin_used: float = Field(..., description="The total margin utilized for trades.")
     total_balance: float = Field(
         ..., description="The total balance in the account (available + margin)."
     )
+
+    @model_validator(mode='after')
+    def validate_total_balance(self) -> 'Funds':
+        expected_total = self.available_balance + self.margin_used
+        if abs(self.total_balance - expected_total) > 0.01:
+            raise ValueError(f"total_balance {self.total_balance} does not match available_balance + margin_used = {expected_total}")
+        return self
🤖 Prompt for AI Agents
In src/ordo/models/api/portfolio.py around lines 19 to 27, the total_balance
field is declared as a required input but its description says it should equal
available_balance + margin_used; update the model so total_balance is either
computed or validated: either remove total_balance from input and implement a
property or @root_validator that sets total_balance = available_balance +
margin_used, or keep it but add a validator (or root_validator) that checks
provided total_balance equals available_balance + margin_used (and raises a
ValueError or logs a warning) and document any legitimate broker deviations in
the field docstring; choose one approach and implement the corresponding
Pydantic pattern.


class Portfolio(BaseModel):
holdings: List[Holding] = Field(
..., description="List of all holdings in the portfolio."
)
funds: Funds = Field(..., description="Details of the funds in the account.")
total_pnl: float = Field(
..., description="Total Profit and Loss for the portfolio."
)
total_day_pnl: float = Field(
..., description="Total Profit and Loss for the current day for the portfolio."
)
total_value: float = Field(
..., description="Total current market value of the portfolio."
)
Comment on lines +29 to +42

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🧹 Nitpick | 🔵 Trivial

Consider computing aggregate fields from holdings.

The total_pnl, total_day_pnl, and total_value fields logically should be aggregations over the holdings list (sum of each holding's pnl, day_pnl, and value respectively). However, they are required input fields with no validation or computation.

Consider:

  1. Making these computed fields that sum the corresponding values from holdings.
  2. Adding validation to ensure consistency.
  3. If the broker API returns pre-calculated totals that might differ (e.g., including cash positions or adjustments not reflected in holdings), document why.

Option 1: Make aggregates computed fields:

+from pydantic import computed_field

 class Portfolio(BaseModel):
     holdings: List[Holding] = Field(
         ..., description="List of all holdings in the portfolio."
     )
     funds: Funds = Field(..., description="Details of the funds in the account.")
-    total_pnl: float = Field(
-        ..., description="Total Profit and Loss for the portfolio."
-    )
-    total_day_pnl: float = Field(
-        ..., description="Total Profit and Loss for the current day for the portfolio."
-    )
-    total_value: float = Field(
-        ..., description="Total current market value of the portfolio."
-    )
+
+    @computed_field
+    @property
+    def total_pnl(self) -> float:
+        """Total Profit and Loss for the portfolio."""
+        return sum(h.pnl for h in self.holdings)
+
+    @computed_field
+    @property
+    def total_day_pnl(self) -> float:
+        """Total Profit and Loss for the current day for the portfolio."""
+        return sum(h.day_pnl for h in self.holdings)
+
+    @computed_field
+    @property
+    def total_value(self) -> float:
+        """Total current market value of the portfolio."""
+        return sum(h.value for h in self.holdings)

Option 2: Add validation:

+from pydantic import model_validator

 class Portfolio(BaseModel):
     holdings: List[Holding] = Field(
         ..., description="List of all holdings in the portfolio."
     )
     funds: Funds = Field(..., description="Details of the funds in the account.")
     total_pnl: float = Field(
         ..., description="Total Profit and Loss for the portfolio."
     )
     total_day_pnl: float = Field(
         ..., description="Total Profit and Loss for the current day for the portfolio."
     )
     total_value: float = Field(
         ..., description="Total current market value of the portfolio."
     )
+
+    @model_validator(mode='after')
+    def validate_totals(self) -> 'Portfolio':
+        expected_pnl = sum(h.pnl for h in self.holdings)
+        expected_day_pnl = sum(h.day_pnl for h in self.holdings)
+        expected_value = sum(h.value for h in self.holdings)
+        
+        if abs(self.total_pnl - expected_pnl) > 0.01:
+            raise ValueError(f"total_pnl {self.total_pnl} does not match sum of holdings pnl = {expected_pnl}")
+        if abs(self.total_day_pnl - expected_day_pnl) > 0.01:
+            raise ValueError(f"total_day_pnl {self.total_day_pnl} does not match sum of holdings day_pnl = {expected_day_pnl}")
+        if abs(self.total_value - expected_value) > 0.01:
+            raise ValueError(f"total_value {self.total_value} does not match sum of holdings value = {expected_value}")
+        return self
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
class Portfolio(BaseModel):
holdings: List[Holding] = Field(
..., description="List of all holdings in the portfolio."
)
funds: Funds = Field(..., description="Details of the funds in the account.")
total_pnl: float = Field(
..., description="Total Profit and Loss for the portfolio."
)
total_day_pnl: float = Field(
..., description="Total Profit and Loss for the current day for the portfolio."
)
total_value: float = Field(
..., description="Total current market value of the portfolio."
)
class Portfolio(BaseModel):
holdings: List[Holding] = Field(
..., description="List of all holdings in the portfolio."
)
funds: Funds = Field(..., description="Details of the funds in the account.")
@computed_field
@property
def total_pnl(self) -> float:
"""Total Profit and Loss for the portfolio."""
return sum(h.pnl for h in self.holdings)
@computed_field
@property
def total_day_pnl(self) -> float:
"""Total Profit and Loss for the current day for the portfolio."""
return sum(h.day_pnl for h in self.holdings)
@computed_field
@property
def total_value(self) -> float:
"""Total current market value of the portfolio."""
return sum(h.value for h in self.holdings)
Suggested change
class Portfolio(BaseModel):
holdings: List[Holding] = Field(
..., description="List of all holdings in the portfolio."
)
funds: Funds = Field(..., description="Details of the funds in the account.")
total_pnl: float = Field(
..., description="Total Profit and Loss for the portfolio."
)
total_day_pnl: float = Field(
..., description="Total Profit and Loss for the current day for the portfolio."
)
total_value: float = Field(
..., description="Total current market value of the portfolio."
)
class Portfolio(BaseModel):
holdings: List[Holding] = Field(
..., description="List of all holdings in the portfolio."
)
funds: Funds = Field(..., description="Details of the funds in the account.")
total_pnl: float = Field(
..., description="Total Profit and Loss for the portfolio."
)
total_day_pnl: float = Field(
..., description="Total Profit and Loss for the current day for the portfolio."
)
total_value: float = Field(
..., description="Total current market value of the portfolio."
)
@model_validator(mode='after')
def validate_totals(self) -> 'Portfolio':
expected_pnl = sum(h.pnl for h in self.holdings)
expected_day_pnl = sum(h.day_pnl for h in self.holdings)
expected_value = sum(h.value for h in self.holdings)
if abs(self.total_pnl - expected_pnl) > 0.01:
raise ValueError(
f"total_pnl {self.total_pnl} does not match sum of holdings pnl = {expected_pnl}"
)
if abs(self.total_day_pnl - expected_day_pnl) > 0.01:
raise ValueError(
f"total_day_pnl {self.total_day_pnl} does not match sum of holdings day_pnl = {expected_day_pnl}"
)
if abs(self.total_value - expected_value) > 0.01:
raise ValueError(
f"total_value {self.total_value} does not match sum of holdings value = {expected_value}"
)
return self

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