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Pyetrade / Etrade API for option-chains function only returns options for apple?

I'm trying to get some option chains using the pyetrade package. I'm working in Sandbox mode for a newly made Etrade account.
When I execute the following code, it executes fine, but the returned information is incorrect: I keep getting options for Apple between 2012 and 2015, instead of current Exxon-Mobil options (what I'm inputting). This is also true for if I ask for Google or Facebook or Netflix, I just keep getting outdated Apple options.
I'm not sure where I messed up, or if this is just something that's part of sandbox mode, so that's why I asked for help. Thank you!
(Note: Some of the code is sourced from: https://github.com/1rocketdude/pyetrade_option_chains/blob/master/etrade_option_chains.py)
The following is the function to get the option chain from the API:
def getOption(thisSymbol):
#Renew session / or start session
try:
authManager.renew_access_token()
except:
authenticate() #this works fine
#make a market object to pull what you need from
market = pyetrade.ETradeMarket(
consumer_key,
consumer_secret,
tokens['oauth_token'],
tokens['oauth_token_secret'],
dev=True
)
try:
#the dates returned are also
q = market.get_option_expire_date(thisSymbol,resp_format='xml')
#just formats the dates to be more comprehensible:
expiration_dates = option_expire_dates_from_xml(q)
except Exception:
raise
rtn = []
for this_expiry_date in expiration_dates:
q = market.get_option_chains(thisSymbol, this_expiry_date)
chains = q['OptionChainResponse']['OptionPair']
rtn.append(chains)
print()
return rtn
ret = getOption("XOM")
print(ret[0])

The API provider is explicit on this:
Note:
E*TRADE's sandbox doesn't actually produce correct option chains so this will return an error.
The sandbox is still useful for debugging e.g. the OAuth stuff.
No one could hardly make the sandbox-ed code work otherwise.

How to use django commands to feed a db with an external API?

I'm learning django and I want to feed my django db with https://pokeapi.co API so i can make a drop down list on HTML with every pokemon name up to date.
fetchnames.py
import requests as r
def nameslist():
payload = {'limit':809}
listpokemons = []
response = r.get('https://pokeapi.co/api/v2/pokemon', params=payload)
pokemons = response.json()
for line in pokemons['results']:
listpokemons.append(line['name'])
return listpokemons
### Function that request from API and returns a list of pokemon names (['Bulbassaur', 'Ivyssaur',...)
core_app/management/commands/queryapi.py
from core_app.models import TablePokemonNames
from core_app.fetchnames import nameslist
class FetchApi(BaseCommand):
help = "Update DB with https://pokeapi.co/"
def add_model_value(self):
table = TablePokemonNames()
table.names = nameslist()
table.save()
core_app/models.py
class TablePokemonNames(models.Model):
id = models.AutoField(primary_key=True)
names = models.CharField(max_length=100)
i'm pretty sure that i'm missing a lot since i'm still learning to use django and i'm still confuse on how should i use django commands, but, i tried to make a django command with nameslist() function and nothing happend on the db, there is something wrong with using a list to feed a db?

Dialogflow - creating an Intent with an input context, via v2 API

I'm working on a script to programmatically create a bunch of intents. I want to set the input context for these intents to a specific value. I have working code that creates the full intent - but I can't get the parameter for input context to work.
This works (in python), but does not create an input context:
intents_client = dialogflow_v2beta1.IntentsClient.from_service_account_json(PROJECT_JSON)
parent = intents_client.project_agent_path(PROJECT_ID)
training_phrases = []
part1 = dialogflow_v2beta1.types.Intent.TrainingPhrase.Part(text="hello ")
parts = []
parts.append(part1)
training_phrase = dialogflow_v2beta1.types.Intent.TrainingPhrase(parts=parts)
training_phrases.append(training_phrase)
text = dialogflow_v2beta1.types.Intent.Message.Text(text=["say hello"])
message = dialogflow_v2beta1.types.Intent.Message(text=text)
messages = []
messages.append(message)
intent = dialogflow_v2beta1.types.Intent(
display_name='Mike_Hello',
training_phrases=training_phrases,
messages=messages)
response = intents_client.create_intent(parent, intent, language_code=LANGUAGE)
But, when I add the following to my Intent definition:
intent = dialogflow_v2beta1.types.Intent(
display_name='Mike_Hello',
input_context_names=['5000'],
training_phrases=training_phrases,
messages=messages)
(ie - adding the input_context_names parameter)
The intent creation fails with an error:
Resource name does not match format 'projects/{project_id}/agent/sessions/{session_id}/contexts/{context_id}'
I tried creating a context with a context client and create_context, but it fails with the same error. The create_context API seems to me to be more related to creating a context for inputting into detect_intent, as it wants a live SESSION_ID as input.
I can replace ["5000"] in the input_context above with 'projects/PROJECT_ID/agent/sessions/-/contexts/5000', and I get the same error.
Bug? Or am I missing something?

Found the problem.
The entity string:
'projects/' + PROJECT_ID + '/agent/sessions/-/contexts/my_ctx_name'
works great.
The entity string:
'/projects/' + PROJECT_ID + '/agent/sessions/-/contexts/my_ctx_name'
does not work. My problem was the leading '/' before 'projects'.

How to retrieve Test Results in Azure DevOps with Python REST API?

How to retrieve Test Results from VSTS (Azure DevOps) by using Python REST API?
Documentation is (as of today) very light, and even the examples in the dedicated repo of the API examples are light (https://github.com/Microsoft/azure-devops-python-samples).
For some reasons, the Test Results are not considered as WorkItems so a regular WIQL query would not work.
Additionally, it would be great to query the results for a given Area Path.
Thanks

First you need to get the proper connection client with the client string that matches the test results.
from vsts.vss_connection import VssConnection
from msrest.authentication import BasicAuthentication
token = "hcykwckuhe6vbnigsjs7r3ai2jefsdlkfjslkfj5mxizbtfu6k53j4ia"
team_instance = "https://tfstest.toto.com:8443/tfs/Development/"
credentials = BasicAuthentication("", token)
connection = VssConnection(base_url=team_instance, creds=credentials)
TEST_CLIENT = "vsts.test.v4_1.test_client.TestClient"
test_client = connection.get_client(TEST_CLIENT)
Then, you can have a look at all the functions available in: vsts/test/<api_version>/test_client.py"
The following functions look interesting:
def get_test_results(self, project, run_id, details_to_include=None, skip=None, top=None, outcomes=None) (Get Test Results for a run based on filters)
def get_test_runs(self, project, build_uri=None, owner=None, tmi_run_id=None, plan_id=None, include_run_details=None, automated=None, skip=None, top=None)
def query_test_runs(self, project, min_last_updated_date, max_last_updated_date, state=None, plan_ids=None, is_automated=None, publish_context=None, build_ids=None, build_def_ids=None, branch_name=None, release_ids=None, release_def_ids=None, release_env_ids=None, release_env_def_ids=None, run_title=None, top=None, continuation_token=None) (although this function has a limitation of 7 days range between min_last_updated_date and max_last_updated_date
To retrieve all the results from the Test Plans in a given Area Path, I have used the following code:
tp_query = Wiql(query="""
SELECT
[System.Id]
FROM workitems
WHERE
[System.WorkItemType] = 'Test Plan'
AND [Area Path] UNDER 'Development\MySoftware'
ORDER BY [System.ChangedDate] DESC""")
for plan in wit_client.query_by_wiql(tp_query).work_items:
print(f"Results for {plan.id}")
for run in test_client.get_test_runs(my_project, plan_id = plan.id):
for res in test_client.get_test_results(my_project, run.id):
tc = res.test_case
print(f"#{run.id}. {tc.name} ({tc.id}) => {res.outcome} by {res.run_by.display_name} in {res.duration_in_ms}")
Note that a test result includes the following attributes:
duration_in_ms
build
outcome (string)
associated_bugs
run_by (Identity)
test_case (TestCase)
test_case_title (string)
area (AreaPath)
Test_run, corresponding to the test run
test_suite
test_plan
completed_date (Python datetime object)
started_date ( Python datetime object)
configuration
Hope it can help others save the number of hours I spent exploring this API.
Cheers

Should I do a URL fetch or call the class method ? Which would be the best option

Which would be a better to way to get contents from two different request handlers?
This is how my app structure looks like
#/twitter/<query>
class TwitterSearch(webapp2.RequestHandler):
def get(self,query):
#get data from Twitter
json_data = data_from_twiiter()
return json_data
#/google/<query>
class GoogleSearch(webapp2.RequestHandler):
def get(self,query):
#get data from Twitter
json_data = data_from_google()
return json_data
Now I can access twitter search data and Google search data separately by calling their respective URL.
I also need to combine both these search results and offer to the user. What would be my best approach to do this ?
Should I call the get method of the respective classes like this ?
#/search/<query>
#Combined search result from google and twitter
class Search(webapp2.RequestHandler):
def get(self,query):
t = TwitterSearch()
twitterSearch = t.get(self,query)
g = GoogleSearch()
googlesearch = g.get(self,query)
Or fetch the data from URL using urllib or something like this ?
#/search/<query>
#Combined search result from google and twitter
class Search(webapp2.RequestHandler):
def get(self,query):
t = get_data_from_URL('/twitter/'+query)
g = get_data_from_URL('/google/'+query)
Or is there some other way to handle this situation?

You shouldn't make HTTP calls to your own application, that introduces a completely unnecessary level of overhead.
I would do this by extracting the query code into a separate function and calling it from both request handlers.