Skip to main content
POST
/
v1
/
logistics
/
recharges
/
bulk
Create Logistics Recharges (Bulk)
const options = {
  method: 'POST',
  headers: {
    'x-api-key': '<x-api-key>',
    'x-organization-id': '<x-organization-id>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({records: [{}], options: {}})
};

fetch('https://api.dcycle.io/v1/logistics/recharges/bulk', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

Documentation Index

Fetch the complete documentation index at: https://code.dcycle.io/llms.txt

Use this file to discover all available pages before exploring further.

​
Create Logistics Recharges (Bulk)

Create multiple fuel consumption records in a single API call. Optimized for batch processing of up to 5,000 records per request.

​
Request

​
Headers

​
x-api-key
string
required
Your API key for authenticationExample: sk_live_1234567890abcdef
​
x-organization-id
string
required
Your organization UUIDExample: a8315ef3-dd50-43f8-b7ce-d839e68d51fa

​
Body Parameters

​
records
array
required
Array of recharge records to create (1 to 5,000). Each record uses the same format as the single POST /recharges endpoint.Each record contains:
  • fuel_id (string, required): UUID of the fuel type
  • country (string, required): ISO 3166-1 alpha-2 country code
  • date (string, required): Date in YYYY-MM-DD format
  • quantity (number): Amount of fuel consumed
  • vehicle_license_plate (string): Vehicle license plate
  • toc_id (string): UUID of the vehicle type
  • project_id (string): UUID of a project to associate with
​
options
object
Processing options for the bulk operation.
  • continue_on_error (boolean, default: true): If true, continues processing remaining records even if some fail. If false, stops at the first error.

​
Response

Returns a summary of the bulk operation with 200 OK. 
{
  "total_received": 3,
  "total_processed": 3,
  "success": 2,
  "failed": 1,
  "results": [
    { "index": 0, "id": "660e8400-e29b-41d4-a716-446655440000" },
    { "index": 2, "id": "770e8400-e29b-41d4-a716-446655440000" }
  ],
  "errors": [
    { "index": 1, "error": "Fuel with id '...' not found or inactive" }
  ]
}

​
Response Fields

FieldTypeDescription
total_receivedintegerNumber of records in the request
total_processedintegerRecords processed (success + failed)
successintegerRecords created/updated successfully
failedintegerRecords that failed validation
resultsarraySuccessfully processed records with their IDs
errorsarrayError details for failed records

​
Upsert Behavior

Records with the same combination of country, date, quantity, and vehicle_license_plate within the organization are updated instead of duplicated. This matches the deduplication behavior of CSV file uploads.

​
Example

curl -X POST "https://api.dcycle.io/v1/logistics/recharges/bulk" \
  -H "x-api-key: ${DCYCLE_API_KEY}" \
  -H "x-organization-id: ${DCYCLE_ORG_ID}" \
  -H "Content-Type: application/json" \
  -d '{
    "records": [
      {
        "fuel_id": "550e8400-e29b-41d4-a716-446655440000",
        "country": "ES",
        "date": "2025-06-15",
        "quantity": 50.0,
        "vehicle_license_plate": "1234-ABC"
      },
      {
        "fuel_id": "550e8400-e29b-41d4-a716-446655440000",
        "country": "ES",
        "date": "2025-06-16",
        "quantity": 60.0,
        "vehicle_license_plate": "5678-XYZ"
      }
    ],
    "options": { "continue_on_error": true }
  }'

​
Daily Batch Upload from CSV

import pandas as pd
import requests

df = pd.read_csv("daily_recharges.csv")

records = [
    {
        "fuel_id": row["fuel_id"],
        "country": row["country"],
        "date": row["date"],
        "quantity": row["quantity"],
        "vehicle_license_plate": row["plate"]
    }
    for _, row in df.iterrows()
]

response = requests.post(
    "https://api.dcycle.io/v1/logistics/recharges/bulk",
    headers=headers,
    json={"records": records, "options": {"continue_on_error": True}}
)

result = response.json()
print(f"Processed: {result['success']}/{result['total_received']}")

​
Common Errors

​
422 Validation Error

Cause: Empty records array or exceeding 5,000 records. 
{
  "detail": [
    {
      "loc": ["body", "records"],
      "msg": "ensure this value has at most 5000 items"
    }
  ]
}

​
Partial Failures

When continue_on_error is true (default), individual record failures are reported in the errors array while successfully processed records are included in results. Common per-record errors:
  • Invalid fuel_id: Fuel not found or inactive
  • Invalid country: Not Valid Country Code, must be ISO 3166-1 alpha-2

Create Recharge

Create a single recharge

List Recharges

Retrieve fuel consumption records

Batch Delete Recharges

Delete multiple recharges at once

Create Requests (Bulk)

Bulk create shipment requests