I have a trial account with Azure and have uploaded some JSON files into CosmosDB. I am creating a python program to review the data but I am having trouble doing so. This is the code I have so far:
import pydocumentdb.documents as documents
import pydocumentdb.document_client as document_client
import pydocumentdb.errors as errors
url = 'https://ronyazrak.documents.azure.com:443/'
key = '' # primary key
# Initialize the Python DocumentDB client
client = document_client.DocumentClient(url, {'masterKey': key})
collection_link = '/dbs/test1/colls/test1'
collection = client.ReadCollection(collection_link)
result_iterable = client.QueryDocuments(collection)
query = { 'query': 'SELECT * FROM server s' }
I read somewhere that the key would be my primary key that I can find in my Azure account Keys. I have filled the key string with my primary key shown in the image but key here is empty just for privacy purposes.
I also read somewhere that the collection_link should be '/dbs/test1/colls/test1' if my data is in collection 'test1' Collections.
My code gets an error at the function client.ReadCollection().
That's the error I have "pydocumentdb.errors.HTTPFailure: Status code: 401
{"code":"Unauthorized","message":"The input authorization token can't serve the request. Please check that the expected payload is built as per the protocol, and check the key being used. Server used the following payload to sign: 'get\ncolls\ndbs/test1/colls/test1\nmon, 29 may 2017 19:47:28 gmt\n\n'\r\nActivityId: 03e13e74-8db4-4661-837a-f8d81a2804cc"}"
Once this error is fixed, what is there left to do? I want to get the JSON files as a big dictionary so that I can review the data.
Am I in the right path? Am I approaching this the wrong way? How can I read documents that are in my database? Thanks.
According to your error information, it seems to be caused by the authentication failed with your key as the offical explaination said below from here.
So please check your key, but I think the key point is using pydocumentdb incorrectly. These id of Database, Collection & Document are different from their links. These APIs ReadCollection, QueryDocuments need to be pass related link. You need to retrieve all resource in Azure CosmosDB via resource link, not resource id.
According to your description, I think you want to list all documents under the collection id path /dbs/test1/colls/test1. As reference, here is my sample code as below.
from pydocumentdb import document_client
uri = 'https://ronyazrak.documents.azure.com:443/'
key = '<your-primary-key>'
client = document_client.DocumentClient(uri, {'masterKey': key})
db_id = 'test1'
db_query = "select * from r where r.id = '{0}'".format(db_id)
db = list(client.QueryDatabases(db_query))[0]
db_link = db['_self']
coll_id = 'test1'
coll_query = "select * from r where r.id = '{0}'".format(coll_id)
coll = list(client.QueryCollections(db_link, coll_query))[0]
coll_link = coll['_self']
docs = client.ReadDocuments(coll_link)
print list(docs)
Please see the details of DocumentDB Python SDK from here.
For those using azure-cosmos, the current library (2019) I opened a doc bug and provided a sample in GitHub
Sample
from azure.cosmos import cosmos_client
import json
CONFIG = {
"ENDPOINT": "ENDPOINT_FROM_YOUR_COSMOS_ACCOUNT",
"PRIMARYKEY": "KEY_FROM_YOUR_COSMOS_ACCOUNT",
"DATABASE": "DATABASE_ID", # Prolly looks more like a name to you
"CONTAINER": "YOUR_CONTAINER_ID" # Prolly looks more like a name to you
}
CONTAINER_LINK = f"dbs/{CONFIG['DATABASE']}/colls/{CONFIG['CONTAINER']}"
FEEDOPTIONS = {}
FEEDOPTIONS["enableCrossPartitionQuery"] = True
# There is also a partitionKey Feed Option, but I was unable to figure out how to us it.
QUERY = {
"query": f"SELECT * from c"
}
# Initialize the Cosmos client
client = cosmos_client.CosmosClient(
url_connection=CONFIG["ENDPOINT"], auth={"masterKey": CONFIG["PRIMARYKEY"]}
)
# Query for some data
results = client.QueryItems(CONTAINER_LINK, QUERY, FEEDOPTIONS)
# Look at your data
print(list(results))
# You can also use the list as JSON
json.dumps(list(results), indent=4)
Related
i'm using the coinbase python lib and i want to save all the transactions i made in a json file. But i'm struggling with the "fill_price"(the price for the currency pair at the time of the Fill) info.
Currently I have this:
data = json.load(f)
for i in data:
api_key = i['api_key']
secret_api = i['secret_api']
client = Client(api_key, secret_api)
user = client.get_account("token")
print(user.get_transaction("token")
I'm not listing transaction yet because i can't figure out how to get the info written here
I even tried params, but still nothing
I am using the Azure Python tool to create Epic/Story/Feature work items in a python script like so:
# add fields
jpo = JsonPatchOperation()
jpo.from_ = None
jpo.op = "add"
jpo.path = "/fields/Microsoft.VSTS.Scheduling.FinishDate"
jpo.value = default_field
jpos.append(jpo)
#create work item
createdWorkItem = wit_client.create_work_item(
document=jpos,
project=project.id,
type="EPIC",
validate_only=validate_only,
bypass_rules=bypass_rules,
suppress_notifications=suppress_notifications
)
#save details to local json file
epic_details = {
"op": "add",
"path": "/relations/-",
"value": {
"rel": "System.LinkTypes.Hierarchy-Reverse",
"name": "Parent",
"url": createdWorkItem.url
}
}
I need to link my tickets together, such as adding a Child / Parent relationship between tickets. I'm trying to do this by creating all my tickets first, then linking them all where needed.
Is there some way with the Azure Devops Python tool that I can add a child workitem to a epic workitem if both tickets already exist? Thanks.
edit: I've found the function ParentChildWIMap referenced here:
https://github.com/microsoft/azure-devops-python-api/blob/451cade4c475482792cbe9e522c1fee32393139e/azure-devops/azure/devops/v5_1/work/models.py#L711
But I'm unsure on how to use it
If you use https://github.com/microsoft/azure-devops-python-api , you can try this sample:
from azure.devops.connection import Connection
from msrest.authentication import BasicAuthentication
from azure.devops.v6_0.py_pi_api import JsonPatchOperation
import pprint
# Fill in with your personal access token and org URL
personal_access_token = '<pat>'
organization_url = 'https://dev.azure.com/<org>'
# Create a connection to the org
credentials = BasicAuthentication('', personal_access_token)
connection = Connection(base_url=organization_url, creds=credentials)
# Get a client (the "core" client provides access to projects, teams, etc)
wi_client = connection.clients.get_work_item_tracking_client()
parent_id = 2129
child_id = 2217
parent_work_item = wi_client.get_work_item(parent_id);
pprint.pprint(parent_work_item.url)
patch_document = []
patch_document.append(JsonPatchOperation(op='add',path="/relations/-",value={"rel": "System.LinkTypes.Hierarchy-Reverse","url": parent_work_item.url}))
wi_client.update_work_item(patch_document, child_id)
Took me quite some time to figure this one out too.
Similar to the previous answer, an example on how to create work items with optional subtasks based on content from yaml files:
https://github.com/filipjonckers/azure-devops-bulk-workitems
Hope this is helpful.
I would like to access Analytics View data from Azure DevOps to have access to registered project activities.
Would anyone have any examples of how they would do it using the azure-devops python library?
I found no example involving extracting data from Analytics View. Basically, I need a Python script that shows all the Analytics View fields of my projects.
After some research, I managed to partially solve my problem because this solution does not bring everything from Analytics View, in addition there is a limitation of 20k records in the query result:
from azure.devops.connection import Connection
from msrest.authentication import BasicAuthentication
from azure.devops.v5_1.work_item_tracking.models import Wiql
token = 'xxx'
team_instance = 'https://dev.azure.com/xxx'
credentials = BasicAuthentication("", token)
connection = Connection(base_url=team_instance, creds=credentials)
def print_work_items(work_items):
for work_item in work_items:
print(
"{0} {1}: {2}".format(
work_item.fields["System.WorkItemType"],
work_item.id,
work_item.fields["System.Title"],
)
)
wit_client = connection.clients.get_work_item_tracking_client()
def get_TC_from_query(query):
query_wiql = Wiql(query=query)
results = wit_client.query_by_wiql(query_wiql).work_items
# WIQL query gives a WorkItemReference => we get the corresponding WorkItem from id
work_items = (wit_client.get_work_item(int(result.id)) for result in results)
print_work_items(work_items)
get_TC_from_query(
"""\
SELECT
[System.Id],
[System.WorkItemType],
[System.Title],
[System.State],
[System.AreaPath],
[System.IterationPath]
FROM workitems
WHERE
[System.TeamProject] = 'Project'
and [System.WorkItemType] = 'Product Backlog Item'
and [System.State] = 'Done'
ORDER BY [System.ChangedDate] DESC
"""
)
I'm trying to get the webContentLink and the webViewLink of a Google Document. For the moment, my code looks like this :
http = decorator.http()
service = discovery.build("drive", "v2", http=http)
fields = "items(id,title,mimeType,webViewLink,webContentLink),nextLink,nextPageToken"
list = service.files().list(fields=fields).execute(http)
docs = [docs for docs in list["items"]
if docs["mimeType"] == DOCS_MIMETYPE]
template_values = {
'docs': docs,
}
The id and the title of the document are here but the webViewLink and webContentLink are both empty.
How can I get them properly?
Be noted that the webViewLink property is only returned for public folders, and not the single files inside such folders. You can use that as the base url to construct links to your files.
To retrieve the WebViewLink property, your request should look like this:
results = service.files().list(
pageSize=10,fields="nextPageToken, files(id, name, webViewLink)").execute()
Check these related SO questions:
Not receiving "webViewLink" in response?
Getting WebViewLinks with Google Drive
I wrote a web service in python to accept the DatasetName and the TableName as inputs in url which will be passed to big query and the fields will be returned as output.
I have used python client for bigquery and accessing the schema information like this, but am not able to get the result as i expect.
it returns "Invalid dataset ID "publicdata:samples". Dataset IDs must be alphanumeric (plus underscores, dashes, and colons) and must be at most 1024 characters long.">"
import web
from bigquery import get_client
urls = (
'/GetFields(.*)', 'get_Fields'
)
app = web.application(urls, globals())
class get_Fields:
def GET(self,r):
datasetname = web.input().datasetName
tablename = web.input().tableName
# BigQuery project id as listed in the Google Developers Console.
project_id = 'din-1085'
# Service account email address as listed in the Google Developers Console.
service_account = '101363222700-epqo6lmkl67j6u1qafha9dke0pmcck3#developer.gserviceaccount.com'
# PKCS12 or PEM key provided by Google.
key = 'Digin-d2421e7da9.p12'
client = get_client(project_id, service_account=service_account,
private_key_file=key, readonly=True)
# Submit an async query.
job_id, _results = client.get_table_schema(datasetname,tablename)
# Retrieve the results.
return results
if __name__ == "__main__":
app.run()
This is the data that i pass:
http://localhost:8080/GetFields?datasetName=publicdata:samples&tableName=shakespeare
Dataset name :publicdata:samples
TableName : shakespeare
Expected Output:
word
word_count
corpus
corpus_date
Finally made it work by changing this line
From:
# Submit an async query.
job_id, _results = client.get_table_schema(datasetname,tablename)
To:
# Submit an async query.
results = client.get_table_schema(datasetname,tablename)