def total_spending(request, format=None):
codes = utils.param_to_list(request.query_params.get('code', []))
codes = utils.get_bnf_codes_from_number_str(codes)
subdivide = request.GET.get('subdivide', None)
if subdivide:
if codes:
if len(codes) > 1:
err = 'Error: You can only subdivide a single code'
return Response(err, status=400)
elif len(codes[0]) > 11:
err = 'Error: Code to subdivide must be 11 characters or fewer'
return Response(err, status=400)
spending_type = utils.get_spending_type(codes)
if spending_type is False:
err = 'Error: Codes must all be the same length'
return Response(err, status=400)
if subdivide:
query = _get_query_for_total_spending_with_subdivide(codes)
else:
query = _get_query_for_total_spending(codes)
if spending_type != 'presentation':
codes = [c + '%' for c in codes]
data = utils.execute_query(query, [codes])
return Response(data)
def total_spending(request, format=None):
codes = utils.param_to_list(request.query_params.get('code', []))
codes = utils.get_bnf_codes_from_number_str(codes)
subdivide = request.GET.get('subdivide', None)
if subdivide:
if codes:
if len(codes) > 1:
err = 'Error: You can only subdivide a single code'
return Response(err, status=400)
elif len(codes[0]) > 11:
err = 'Error: Code to subdivide must be 11 characters or fewer'
return Response(err, status=400)
spending_type = utils.get_spending_type(codes)
if spending_type is False:
err = 'Error: Codes must all be the same length'
return Response(err, status=400)
if subdivide:
query = _get_query_for_total_spending_with_subdivide(codes)
else:
query = _get_query_for_total_spending(codes)
if spending_type != 'presentation':
codes = [c + '%' for c in codes]
data = utils.execute_query(query, [codes])
return Response(data)
def spending_by_org(request, format=None, org_type=None):
codes = utils.param_to_list(request.query_params.get('code', []))
codes = utils.get_bnf_codes_from_number_str(codes)
org_ids = utils.param_to_list(request.query_params.get('org', []))
org_type = request.query_params.get('org_type', org_type)
date = request.query_params.get('date', None)
# Accept both cases of CCG (better to fix this specific string rather than
# make the whole API case-insensitive)
if org_type == 'CCG':
org_type = 'ccg'
# Some special case handling for practices
if org_type == 'practice':
# Translate any CCG codes into the codes of all practices in that CCG
org_ids = utils.get_practice_ids_from_org(org_ids)
# Due to the number of practices we only return data for all practices
# if a single date is specified
if not date and not org_ids:
return Response(
'Error: You must supply either a list of practice IDs or a date '
'parameter, e.g. date=2015-04-01',
status=400)
# We don't (yet?) have a "proper" code field for STPs so we're using their
# ONS code
code_field = 'code' if org_type != 'stp' else 'ons_code'
if org_type == 'practice':
orgs = Practice.objects.all()
elif org_type == 'ccg':
orgs = PCT.objects.filter(org_type='CCG')
elif org_type == 'stp':
orgs = STP.objects.all()
elif org_type == 'regional_team':
orgs = RegionalTeam.objects.all()
else:
return Response('Error: unrecognised org_type parameter', status=400)
# Filter and sort
if org_ids:
orgs = orgs.filter(**{code_field + '__in': org_ids})
orgs = orgs.order_by(code_field)
# For most orgs we just want the code and name but for practices we want
# the entire object because, for compatibility with the existing API, we
# return extra data for practices
if org_type != 'practice':
orgs = orgs.only(code_field, 'name')
data = _get_prescribing_entries(codes, orgs, org_type, date=date)
return Response(list(data))
def total_spending(request, format=None):
codes = utils.param_to_list(request.query_params.get('code', []))
codes = utils.get_bnf_codes_from_number_str(codes)
spending_type = utils.get_spending_type(codes)
if spending_type is False:
err = CODE_LENGTH_ERROR
return Response(err, status=400)
query = _get_query_for_total_spending(codes)
if spending_type != 'presentation':
codes = [c + '%' for c in codes]
data = utils.execute_query(query, [codes])
return Response(data)
def spending_by_practice(request, format=None):
codes = utils.param_to_list(request.query_params.get('code', []))
codes = utils.get_bnf_codes_from_number_str(codes)
orgs = utils.param_to_list(request.query_params.get('org', []))
date = request.query_params.get('date', None)
spending_type = utils.get_spending_type(codes)
if spending_type is False:
err = 'Error: Codes must all be the same length'
return Response(err, status=400)
if spending_type == 'bnf-section' or spending_type == 'product':
codes = [c + '%' for c in codes]
if not date and not orgs:
err = 'Error: You must supply either '
err += 'a list of practice IDs or a date parameter, e.g. '
err += 'date=2015-04-01'
return Response(err, status=400)
org_for_param = None
if not spending_type or spending_type == 'bnf-section' \
or spending_type == 'chemical':
# We can do presentation queries indexed by PCT ID, which is faster.
# We have yet to update the *_by_practice matviews with PCT ID.
# So for these queries, expand the CCG ID to a list of practice IDs.
expanded_orgs = utils.get_practice_ids_from_org(orgs)
if codes:
query = _get_chemicals_or_sections_by_practice(codes,
expanded_orgs,
spending_type,
date)
org_for_param = expanded_orgs
else:
query = _get_total_spending_by_practice(expanded_orgs, date)
org_for_param = expanded_orgs
else:
query = _get_presentations_by_practice(codes, orgs, date)
org_for_param = orgs
data = utils.execute_query(
query, [codes, org_for_param, [date] if date else []])
return Response(data)
def spending_by_practice(request, format=None):
codes = utils.param_to_list(request.query_params.get('code', []))
codes = utils.get_bnf_codes_from_number_str(codes)
orgs = utils.param_to_list(request.query_params.get('org', []))
date = request.query_params.get('date', None)
spending_type = utils.get_spending_type(codes)
if spending_type is False:
err = 'Error: Codes must all be the same length'
return Response(err, status=400)
if spending_type == 'bnf-section' or spending_type == 'product':
codes = [c + '%' for c in codes]
if not date and not orgs:
err = 'Error: You must supply either '
err += 'a list of practice IDs or a date parameter, e.g. '
err += 'date=2015-04-01'
return Response(err, status=400)
org_for_param = None
if not spending_type or spending_type == 'bnf-section' \
or spending_type == 'chemical':
# We can do presentation queries indexed by PCT ID, which is faster.
# We have yet to update the *_by_practice matviews with PCT ID.
# So for these queries, expand the CCG ID to a list of practice IDs.
expanded_orgs = utils.get_practice_ids_from_org(orgs)
if codes:
query = _get_chemicals_or_sections_by_practice(codes,
expanded_orgs,
spending_type,
date)
org_for_param = expanded_orgs
else:
query = _get_total_spending_by_practice(expanded_orgs, date)
org_for_param = expanded_orgs
else:
query = _get_presentations_by_practice(codes, orgs, date)
org_for_param = orgs
data = utils.execute_query(
query, [codes, org_for_param, [date] if date else []])
return Response(data)
def spending_by_ccg(request, format=None):
codes = utils.param_to_list(request.query_params.get('code', []))
codes = utils.get_bnf_codes_from_number_str(codes)
orgs = utils.param_to_list(request.query_params.get('org', []))
spending_type = utils.get_spending_type(codes)
if spending_type is False:
err = CODE_LENGTH_ERROR
return Response(err, status=400)
if not spending_type or spending_type == 'bnf-section' \
or spending_type == 'chemical':
query = _get_query_for_chemicals_or_sections_by_ccg(codes, orgs,
spending_type)
else:
query = _get_query_for_presentations_by_ccg(codes, orgs)
if spending_type == 'bnf-section' or spending_type == 'product':
codes = [c + '%' for c in codes]
data = utils.execute_query(query, [codes, orgs])
return Response(data)
def spending_by_ccg(request, format=None):
codes = utils.param_to_list(request.query_params.get('code', []))
codes = utils.get_bnf_codes_from_number_str(codes)
orgs = utils.param_to_list(request.query_params.get('org', []))
spending_type = utils.get_spending_type(codes)
if spending_type is False:
err = 'Error: Codes must all be the same length'
return Response(err, status=400)
if not spending_type or spending_type == 'bnf-section' \
or spending_type == 'chemical':
query = _get_query_for_chemicals_or_sections_by_ccg(codes, orgs,
spending_type)
else:
query = _get_query_for_presentations_by_ccg(codes, orgs)
if spending_type == 'bnf-section' or spending_type == 'product':
codes = [c + '%' for c in codes]
data = utils.execute_query(query, [codes, orgs])
return Response(data)
def total_spending(request, format=None):
codes = utils.param_to_list(request.query_params.get('code', []))
codes = utils.get_bnf_codes_from_number_str(codes)
data = _get_total_prescribing_entries(codes)
return Response(list(data))
