Python wrapper for the Salesforce's Query API.
Project description
sfq (Salesforce Query)
sfq is a lightweight Python wrapper library designed to simplify querying Salesforce, reducing repetitive code for accessing Salesforce data.
For more varied workflows, consider using an alternative like Simple Salesforce. This library was even referenced on the Salesforce Developers Blog.
Features
- Simplified query execution for Salesforce instances.
- Integration with Salesforce authentication via refresh tokens.
- Option to interact with Salesforce Tooling API for more advanced queries.
- Platform Events support (list available & publish single/batch).
Installation
You can install the sfq library using pip:
pip install sfq
Usage
Library Querying
from sfq import SFAuth
# Initialize the SFAuth class with authentication details
sf = SFAuth(
instance_url="https://example-dev-ed.trailblaze.my.salesforce.com",
client_id="your-client-id-here",
client_secret="your-client-secret-here",
refresh_token="your-refresh-token-here"
)
# Execute a query to fetch account records
print(sf.query("SELECT Id FROM Account LIMIT 5"))
# Execute a query to fetch Tooling API data
print(sf.tooling_query("SELECT Id, FullName, Metadata FROM SandboxSettings LIMIT 5"))
Composite Batch Queries
multiple_queries = {
"Recent Users": """
SELECT Id, Name,CreatedDate
FROM User
ORDER BY CreatedDate DESC
LIMIT 10""",
"Recent Accounts": "SELECT Id, Name, CreatedDate FROM Account ORDER BY CreatedDate DESC LIMIT 10",
"Frozen Users": "SELECT Id, UserId FROM UserLogin WHERE IsFrozen = true", # If exceeds 2000 records, will paginate
}
batched_response = sf.cquery(multiple_queries)
for subrequest_identifer, subrequest_response in batched_response.items():
print(f'"{subrequest_identifer}" returned {subrequest_response["totalSize"]} records')
>>> "Recent Users" returned 10 records
>>> "Recent Accounts" returned 10 records
>>> "Frozen Users" returned 4082 records
Collection Deletions
response = sf.cdelete(['07La0000000bYgj', '07La0000000bYgk', '07La0000000bYgl'])
>>> [{'id': '07La0000000bYgj', 'success': True, 'errors': []}, {'id': '07La0000000bYgk', 'success': True, 'errors': []}, {'id': '07La0000000bYgl', 'success': True, 'errors': []}]
Static Resources
page = sf.read_static_resource_id('081aj000009jUMXAA2')
print(f'Initial resource: {page}')
>>> Initial resource: <h1>It works!</h1>
sf.update_static_resource_name('HelloWorld', '<h1>Hello World</h1>')
page = sf.read_static_resource_name('HelloWorld')
print(f'Updated resource: {page}')
>>> Updated resource: <h1>Hello World</h1>
sf.update_static_resource_id('081aj000009jUMXAA2', '<h1>It works!</h1>')
sObject Key Prefixes
# Key prefix via IDs
print(sf.get_sobject_prefixes())
>>> {'0Pp': 'AIApplication', '6S9': 'AIApplicationConfig', '9qd': 'AIInsightAction', '9bq': 'AIInsightFeedback', '0T2': 'AIInsightReason', '9qc': 'AIInsightValue', ...}
# Key prefix via names
print(sf.get_sobject_prefixes(key_type="name"))
>>> {'AIApplication': '0Pp', 'AIApplicationConfig': '6S9', 'AIInsightAction': '9qd', 'AIInsightFeedback': '9bq', 'AIInsightReason': '0T2', 'AIInsightValue': '9qc', ...}
Platform Events
Platform Events allow publishing and subscribing to real-time events. Requires a custom Platform Event (e.g., 'sfq__e' with fields like 'text__c').
from sfq import SFAuth
sf = SFAuth(
instance_url="https://example-dev-ed.trailblaze.my.salesforce.com",
client_id="your-client-id-here",
client_secret="your-client-secret-here",
refresh_token="your-refresh-token-here"
)
# List available events
events = sf.list_events()
print(events) # e.g., ['sfq__e']
# Publish single event
result = sf.publish('sfq__e', {'text__c': 'Hello Event!'})
print(result) # {'success': True, 'id': '2Ee...'}
# Publish batch
events_data = [
{'text__c': 'Batch 1 message'},
{'text__c': 'Batch 2 message'}
]
batch_result = sf.publish_batch(events_data, 'sfq__e')
print(batch_result['results']) # List of results
## How to Obtain Salesforce Tokens
To use the `sfq` library, you'll need a **client ID** and **refresh token**. The easiest way to obtain these is by using the Salesforce CLI:
### Steps to Get Tokens
1. **Install the Salesforce CLI**:
Follow the instructions on the [Salesforce CLI installation page](https://developer.salesforce.com/tools/salesforcecli).
2. **Authenticate with Salesforce**:
Login to your Salesforce org using the following command:
```bash
sf org login web --alias int --instance-url https://corpa--int.sandbox.my.salesforce.com
-
Display Org Details:
To get the client ID, client secret, refresh token, and instance URL, run:sf org display --target-org int --verbose --json
The output will look like this:
{ "status": 0, "result": { "id": "00Daa0000000000000", "apiVersion": "63.0", "accessToken": "00Daa0000000000000!evaU3fYZEWGUrqI5rMtaS8KYbHfeqA7YWzMgKToOB43Jk0kj7LtiWCbJaj4owPFQ7CqpXPAGX1RDCHblfW9t8cNOCNRFng3o", "instanceUrl": "https://example-dev-ed.trailblaze.my.salesforce.com", "username": "user@example.com", "clientId": "PlatformCLI", "connectedStatus": "Connected", "sfdxAuthUrl": "force://PlatformCLI::nwAeSuiRqvRHrkbMmCKvLHasS0vRbh3Cf2RF41WZzmjtThnCwOuDvn9HObcUjKuTExJPqPegIwnLB5aH6GNWYhU@example-dev-ed.trailblaze.my.salesforce.com", "alias": "int" } }
-
Extract and Use the Tokens:
ThesfdxAuthUrlis structured as:force://<client_id>:<client_secret>:<refresh_token>@<instance_url>This means with the above output sample, you would use the following information:
# This is for illustrative purposes; use environment variables instead client_id = "PlatformCLI" client_secret = "" refresh_token = "nwAeSuiRqvRHrkbMmCKvLHasS0vRbh3Cf2RF41WZzmjtThnCwOuDvn9HObcUjKuTExJPqPegIwnLB5aH6GNWYhU" instance_url = "https://example-dev-ed.trailblaze.my.salesforce.com" from sfq import SFAuth sf = SFAuth( instance_url=instance_url, client_id=client_id, client_secret=client_secret, refresh_token=refresh_token, )
Important Considerations
- Security: Safeguard your client_id, client_secret, and refresh_token diligently, as they provide access to your Salesforce environment. Avoid sharing or exposing them in unsecured locations.
- Efficient Data Retrieval: The
queryandcqueryfunction automatically handles pagination, simplifying record retrieval across large datasets. It's recommended to use theLIMITclause in queries to control the volume of data returned. - Advanced Tooling Queries: Utilize the
tooling_queryfunction to access the Salesforce Tooling API. This option is designed for performing complex operations, enhancing your data management capabilities.
Telemetry
sfq includes an HTTP event telemetry system to gather usage insights. Telemetry is enabled by default to help improve the library, but you can disable it if you prefer.
Configuration
| Variable | Description | Default |
|---|---|---|
SFQ_TELEMETRY |
0 (disabled), 1 (Standard), 2 (Debug - diagnostics, logs) |
1 (Standard) |
SFQ_TELEMETRY_ENDPOINT |
URL to POST telemetry events | https://sfq-telemetry.moruzzi.org/api/v0/events |
SFQ_TELEMETRY_SAMPLING |
Fraction of events to send (0.0–1.0) |
1.0 |
SFQ_TELEMETRY_KEY |
Optional bearer token for the telemetry endpoint | None |
Telemetry Levels
-
Disabled (
0): No telemetry events are sent. -
Standard (
1) (default): Sends anonymized, non-PII events such as method names, paths, status codes, and execution duration. Safe for general usage. -
Debug (
2): Sends additional diagnostic information and forwards log records from the library (everything). May include sensitive data (tokens, IDs, PII, stack traces). Do not enable Debug telemetry against public endpoints.
Privacy & Security
- Opt-out: You can disable telemetry by setting
SFQ_TELEMETRY=0. - Standard events do not include request bodies, tokens, or user/org identifiers.
- Debug diagnostics are intended for internal use only. Route them to a trusted internal endpoint.
- Review retention and access controls on any telemetry receiver.
Log Samples
Here are examples of telemetry log entries at different levels:
Standard Telemetry Event: This includes anonymized, non-PII fields (method, status code, duration). Intended for general opt-in use.
{
"timestamp": "2025-12-29T03:48:06Z",
"sdk": "sfq",
"sdk_version": "0.0.47",
"event_type": "http.request",
"client_id": "c302d04df42738b23dbfe59688fac06367b768e180d9dfb4794a99cab41dad78",
"telemetry_level": 1,
"payload": {
"method": "GET",
"status_code": 200,
"duration_ms": 123,
"environment": {
"os": "Windows",
"os_release": "10",
"python_version": "3.11.14",
"sforce_client": "sfq/0.0.53"
}
}
}
Debug Telemetry Event: This includes detailed request/response data and diagnostics. This is intended for opt-in use only.
{
"timestamp": "2025-12-29T03:49:05Z",
"sdk": "sfq",
"sdk_version": "0.0.47",
"event_type": "http.request",
"client_id": "bbfd58c99e967895285d5ec5f5a9af8e2b5a040dc0bf261d64ae663e059c32f0",
"telemetry_level": 2,
"payload": {
"method": "GET",
"status": 200,
"duration_ms": 242,
"request_headers": {
"User-Agent": "sfq/0.0.53",
"Sforce-Call-Options": "client=sfq/0.0.53",
"Accept": "application/json",
"Content-Type": "application/json",
"Authorization": "REDACTED"
},
"environment": {
"os": "Windows",
"os_release": "10",
"python_version": "3.11.14",
"user_agent": "sfq/0.0.53",
"sforce_client": "sfq/0.0.53"
},
"path_hash": "119a7bffe38631d987935f5f88effb89fe9267993fa4b459f712a993ef5859f0"
}
}
The following fields appear in telemetry events; below are concise explanations to help you interpret them:
-
timestamp: ISO 8601 timestamp (UTC) when the event was generated. -
sdk: The SDK name that generated the event (this library:sfq). -
sdk_version: Version of the SDK (semantic version string). -
sfk_version: Alias forsdk_version(included for compatibility with some consumers). -
event_type: Logical event category (e.g.,http.request,log.record). -
client_id: Anonymous identifier generated at runtime for the current client instance (SHA-256 of a UUID). This ID is not persisted across runs and cannot be traced to any user or organization data. Its purpose is to provide a temporary, unique identifier for telemetry events. -
telemetry_level: Telemetry level active for the client (0=disabled, 1=Standard, 2=Debug). -
payload.method: HTTP method used (e.g.,GET,POST,PUT,DELETE). -
payload.status/payload.status_code: HTTP response status code (when available). -
payload.duration_ms: Duration of the operation in milliseconds (when available). -
payload.environment: Small environment summary containing:os: OS name (e.g.,Windows,Linux).os_release: OS release string (e.g.,10).python_version: Python runtime version (e.g.,3.11.14).user_agent: (Debug telemetry only) User-Agent header value when available.sforce_client: (Debug telemetry only) extractedclient=value fromSforce-Call-Optionsheader when available.
-
payload.path_hash(Debug telemetry only): SHA-256 hash of the sanitized path string. The raw request path/URL is never included in Standard telemetry (level 1); Debug telemetry (level 2) includes only this hash to allow grouping without sending identifying path components.
If you need more detail for debugging, enable Debug telemetry (SFQ_TELEMETRY=2) and route events to a trusted internal endpoint via SFQ_TELEMETRY_ENDPOINT. To disable telemetry entirely, set SFQ_TELEMETRY=0.
CI-Aware HTTP Header Attachment
sfq automatically attaches traceable CI metadata to outbound HTTP requests when running in CI environments. This enables request tracking and correlation across systems through the AdditionalInfo fields for ApiEvent and LoginEvent.
How It Works
When running in a CI environment, sfq automatically detects the CI provider and attaches non-PII metadata headers to all HTTP requests.
Supported CI Providers
| CI Provider | Detection Variable | Value |
|---|---|---|
| GitHub Actions | GITHUB_ACTIONS |
true |
| GitLab CI | GITLAB_CI |
true |
| CircleCI | CIRCLECI |
true |
Header Format
All CI metadata uses the x-sfdc-addinfo- prefix:
x-sfdc-addinfo-ci_provider: github
x-sfdc-addinfo-run_id: 123456
x-sfdc-addinfo-repository: org/repo
x-sfdc-addinfo-workflow: Release
x-sfdc-addinfo-ref: refs/heads/main
x-sfdc-addinfo-runner_os: Linux
Non-PII Metadata
The following metadata is automatically included when available:
GitHub Actions:
GITHUB_RUN_ID→x-sfdc-addinfo-run_idGITHUB_REPOSITORY→x-sfdc-addinfo-repositoryGITHUB_WORKFLOW→x-sfdc-addinfo-workflowGITHUB_REF→x-sfdc-addinfo-refRUNNER_OS→x-sfdc-addinfo-runner_os
GitLab CI:
CI_PIPELINE_ID→x-sfdc-addinfo-pipeline_idCI_PROJECT_PATH→x-sfdc-addinfo-project_pathCI_JOB_NAME→x-sfdc-addinfo-job_nameCI_COMMIT_REF_NAME→x-sfdc-addinfo-commit_ref_nameCI_RUNNER_ID→x-sfdc-addinfo-runner_id
CircleCI:
CIRCLE_WORKFLOW_ID→x-sfdc-addinfo-workflow_idCIRCLE_PROJECT_REPONAME→x-sfdc-addinfo-project_reponameCIRCLE_BRANCH→x-sfdc-addinfo-branchCIRCLE_BUILD_NUM→x-sfdc-addinfo-build_num
PII Metadata
PII headers are not included by default. To include them, set the environment variable:
export SFQ_ATTACH_CI_PII=true
GitHub Actions PII:
GITHUB_ACTOR→x-sfdc-addinfo-pii-actorGITHUB_ACTOR_ID→x-sfdc-addinfo-pii-actor_idGITHUB_TRIGGERING_ACTOR→x-sfdc-addinfo-pii-triggering_actor
GitLab CI PII:
GITLAB_USER_LOGIN→x-sfdc-addinfo-pii-user_loginGITLAB_USER_NAME→x-sfdc-addinfo-pii-user_nameGITLAB_USER_EMAIL→x-sfdc-addinfo-pii-user_emailGITLAB_USER_ID→x-sfdc-addinfo-pii-user_id
CircleCI PII:
CIRCLE_USERNAME→x-sfdc-addinfo-pii-username
Configuration
| Variable | Description | Default |
|---|---|---|
SFQ_ATTACH_CI_PII |
Include PII headers (true, 1, yes, y) |
false |
SFQ_ATTACH_CI |
Include CI headers (true, 1, yes, y) |
true |
Custom Addinfo Headers
sfq supports injecting arbitrary custom headers into HTTP requests using the SFQ_HEADERS environment variable. This allows you to add custom metadata to all API requests, which appears in the AdditionalInfo fields for ApiEvent and LoginEvent.
How It Works
The SFQ_HEADERS environment variable allows you to specify custom key-value pairs that will be converted into x-sfdc-addinfo- headers and attached to all HTTP requests.
Usage
Set the SFQ_HEADERS environment variable using the format key1:value1|key2:value2:
export SFQ_HEADERS="custom_key:custom_value|another_header:another_value"
This will create the following HTTP headers:
x-sfdc-addinfo-custom_key: custom_value
x-sfdc-addinfo-another_header: another_value
Example
import os
from sfq import SFAuth
# Set custom headers
os.environ['SFQ_HEADERS'] = "deployment_id:deploy-123|environment:production|team:data-engineering"
# Initialize SFAuth
sf = SFAuth(
instance_url="https://example-dev-ed.trailblaze.my.salesforce.com",
client_id="your-client-id-here",
client_secret="your-client-secret-here",
refresh_token="your-refresh-token-here"
)
# All queries will now include the custom headers
result = sf.query("SELECT Id FROM Account LIMIT 5")
Features
- Multiple Headers: Separate multiple key-value pairs with
| - Value Support: Values can contain spaces, equals signs, and other special characters
- Empty Handling: Empty keys or values are automatically ignored
- Automatic Integration: Headers are automatically added to all HTTP requests
Configuration
| Variable | Description | Default |
|---|---|---|
SFQ_HEADERS |
Custom headers in format `key1:value1 | key2:value2` |
Use Cases
- Deployment Tracking: Add deployment IDs to track which deployment made API calls
- Environment Identification: Identify requests from different environments (dev, staging, prod)
- Team Attribution: Track which team or service is making requests
- Custom Metadata: Add any custom metadata needed for tracking and debugging
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