Related
I'm trying to find tickSize using this method but it returns an error.
Data:
{'symbol': 'FIROUSDT', 'status': 'TRADING', 'baseAsset': 'FIRO', 'baseAssetPrecision': 8, 'quoteAsset': 'USDT', 'quotePrecision': 8, 'quoteAssetPrecision': 8, 'baseCommissionPrecision': 8, 'quoteCommissionPrecision': 8, 'orderTypes': ['LIMIT', 'LIMIT_MAKER', 'MARKET', 'STOP_LOSS_LIMIT', 'TAKE_PROFIT_LIMIT'], 'icebergAllowed': True, 'ocoAllowed': True, 'quoteOrderQtyMarketAllowed': True, 'allowTrailingStop': False, 'isSpotTradingAllowed': True, 'isMarginTradingAllowed': False, 'filters': [{'filterType': 'PRICE_FILTER', 'minPrice': '0.00100000', 'maxPrice': '10000.00000000', 'tickSize': '0.00100000'}, {'filterType': 'PERCENT_PRICE', 'multiplierUp': '5', 'multiplierDown': '0.2', 'avgPriceMins': 5}, {'filterType': 'LOT_SIZE', 'minQty': '0.10000000', 'maxQty': '90000.00000000', 'stepSize': '0.10000000'}, {'filterType': 'MIN_NOTIONAL', 'minNotional': '10.00000000', 'applyToMarket': True, 'avgPriceMins': 5}, {'filterType': 'ICEBERG_PARTS', 'limit': 10}, {'filterType': 'MARKET_LOT_SIZE', 'minQty': '0.00000000', 'maxQty': '26259.97721527', 'stepSize': '0.00000000'}, {'filterType': 'MAX_NUM_ORDERS', 'maxNumOrders': 200}, {'filterType': 'MAX_NUM_ALGO_ORDERS', 'maxNumAlgoOrders': 5}], 'permissions': ['SPOT']}
Code:
data = client.get_symbol_info('FIROUSDT')
print(data['filters']['filterType']['PRICE_FILTER']['tickSize'])
Error:
print(data['filters']['filterType']['PRICE_FILTER']['tickSize'])
TypeError: list indices must be integers or slices, not str
What's the mistake here?
data["filters"] returns a List, not a Dictionary, so to access the "PRICE_FILTER" we need to use the index of this filter.
[
{
"filterType": "PRICE_FILTER",
"minPrice": "0.00100000",
"maxPrice": "10000.00000000",
"tickSize": "0.00100000"
},
{
"filterType": "PERCENT_PRICE",
"multiplierUp": "5",
"multiplierDown": "0.2",
"avgPriceMins": 5
},
{
"filterType": "LOT_SIZE",
"minQty": "0.10000000",
"maxQty": "90000.00000000",
"stepSize": "0.10000000"
},
{
"filterType": "MIN_NOTIONAL",
"minNotional": "10.00000000",
"applyToMarket": true,
"avgPriceMins": 5
},
{
"filterType": "ICEBERG_PARTS",
"limit": 10
},
{
"filterType": "MARKET_LOT_SIZE",
"minQty": "0.00000000",
"maxQty": "26259.97721527",
"stepSize": "0.00000000"
},
{
"filterType": "MAX_NUM_ORDERS",
"maxNumOrders": 200
},
{
"filterType": "MAX_NUM_ALGO_ORDERS",
"maxNumAlgoOrders": 5
}
]
The first filter has a filterType of "PRICE_FILTER" so our index is 0 because Python uses 0-based indexing, so to get this filter we use
data["filters"][0]
This returns the following dictionary
{
"filterType": "PRICE_FILTER",
"minPrice": "0.00100000",
"maxPrice": "10000.00000000",
"tickSize": "0.00100000"
}
So to print the tickSize you can run
print(data['filters'][0]['tickSize'])
Here is the code:
info = client.exchange_info(asset)
tickSize = info['symbols'][0]['filters'][0]['tickSize']
print(tickSize)
Im running a python 3.7 script where im trying to remove quotes.
Im trying to add a dynamic list (x and y coordinates) to a json-dictionary but i keep getting quotes surrounding the list. I need the list to be inserted without these quotes.
Here is my code that im running:
#The dynamic list
polygon = ['0.124912491249125', '0.683368336833683', '0.128112811281128', '0.472147214721472', '-0.096909690969097', '0.444344434443444', '-0.196919691969197', '-0.533353335333533', '-0.64996499649965', '-0.427742774277428', '-0.290529052905291', '-0.266726672667267', '-0.237523752375237', '0.64996499649965']
list_polygon = []
for i,k in zip(polygon[0::2], polygon[1::2]):
data_polygon = ('['+str(i), str(k)+']')
data_polygon = str(data_polygon)
list_polygon.append(data_polygon)
list_polygon = str(list_polygon)
list_polygon = list_polygon.replace("'",'').replace("(",'').replace(")",'').replace("[[",'[').replace("]]",']')
cord_data = {'apiVersion': '1.3',
'context': '<client context>',
'params': {'cameras': [{'active': True, 'id': 1, 'rotation': 0}],
'configurationStatus': 5,
'profiles': [{'camera': 1,
'filters': [{'active': True,
'data': 1,
'type': 'timeShortLivedLimit'},
{'active': True,
'data': 5,
'type': 'distanceSwayingObject'},
{'active': True,
'data': [5, 5],
'type': 'sizePercentage'}],
'name': 'Profile 1',
'triggers': [{'data': [list_polygon],
'type': 'includeArea'}],
'uid': 1}]},
'method': 'setConfiguration'}
And i get the answer:
{'apiVersion': '1.3', 'context': '<client context>', 'params': {'cameras': [{'active': True, 'id': 1, 'rotation': 0}], 'configurationStatus': 5, 'profiles': [{'camera': 1, 'filters': [{'active': True, 'data': 1, 'type': 'timeShortLivedLimit'}, {'active': True, 'data': 5, 'type': 'distanceSwayingObject'}, {'active': True, 'data': [5, 5], 'type': 'sizePercentage'}], 'name': 'Profile 1', 'triggers': [{'data': ['[0.124912491249125, 0.683368336833683], [0.128112811281128, 0.472147214721472], [-0.096909690969097, 0.444344434443444], [-0.196919691969197, -0.533353335333533], [-0.64996499649965, -0.427742774277428], [-0.290529052905291, -0.266726672667267], [-0.237523752375237, 0.64996499649965]'], 'type': 'includeArea'}], 'uid': 1}]}, 'method': 'setConfiguration'}
As you see it adds a quote between the brackets (at the start and the end) 'triggers': [{'data': ['[ 0.124912491249125, 0.683368336833683], [0.128112811281128, 0.472147214721472], [-0.096909690969097, 0.444344434443444], [-0.196919691969197, -0.533353335333533], [-0.64996499649965, -0.427742774277428], [-0.290529052905291, -0.266726672667267], [-0.237523752375237, 0.64996499649965 ]']
Instead i want it to look like this:
'triggers': [{'data': [[ 0.124912491249125, 0.683368336833683], [0.128112811281128, 0.472147214721472], [-0.096909690969097, 0.444344434443444], [-0.196919691969197, -0.533353335333533], [-0.64996499649965, -0.427742774277428], [-0.290529052905291, -0.266726672667267], [-0.237523752375237, 0.64996499649965 ]]
The first and second must be paired.
The post i want to send should look like this:
cord_data = {'apiVersion': '1.3',
'context': '<client context>',
'params': {'cameras': [{'active': True, 'id': 1, 'rotation': 0}],
'configurationStatus': 5,
'profiles': [{'camera': 1,
'filters': [{'active': True,
'data': 1,
'type': 'timeShortLivedLimit'},
{'active': True,
'data': 5,
'type': 'distanceSwayingObject'},
{'active': True,
'data': [5, 5],
'type': 'sizePercentage'}],
'name': 'Profile 1',
'triggers': [{'data': [[0.124912491249125, 0.683368336833683],
[0.128112811281128, 0.472147214721472],
[-0.096909690969097, 0.444344434443444]
and so on],
'type': 'includeArea'}],
'uid': 1}]},
'method': 'setConfiguration'}
What im i doing wrong?
You make every effort to make it str first, when you need list of lists of floats.
polygon = ['0.124912491249125', '0.683368336833683', '0.128112811281128', '0.472147214721472', '-0.096909690969097', '0.444344434443444', '-0.196919691969197', '-0.533353335333533', '-0.64996499649965', '-0.427742774277428', '-0.290529052905291', '-0.266726672667267', '-0.237523752375237', '0.64996499649965']
list_polygon = [[float(i), float(k)] for i,k in zip(polygon[0::2], polygon[1::2])]
cord_data = {'apiVersion': '1.3',
'context': '<client context>',
'params': {'cameras': [{'active': True, 'id': 1, 'rotation': 0}],
'configurationStatus': 5,
'profiles': [{'camera': 1,
'filters': [{'active': True,
'data': 1,
'type': 'timeShortLivedLimit'},
{'active': True,
'data': 5,
'type': 'distanceSwayingObject'},
{'active': True,
'data': [5, 5],
'type': 'sizePercentage'}],
'name': 'Profile 1',
'triggers': [{'data': list_polygon,
'type': 'includeArea'}],
'uid': 1}]},
'method': 'setConfiguration'}
print(cord_data)
And a word of advise - don't forget Floating Point Arithmetic: Issues and Limitations
I guess you'd want something like this:
from pprint import pprint
#The dynamic list
polygon = ['0.124912491249125', '0.683368336833683', '0.128112811281128', '0.472147214721472', '-0.096909690969097', '0.444344434443444', '-0.196919691969197', '-0.533353335333533', '-0.64996499649965', '-0.427742774277428', '-0.290529052905291', '-0.266726672667267', '-0.237523752375237', '0.64996499649965']
list_polygon = []
for i,k in zip(polygon[0::2], polygon[1::2]):
# Don't duplicate convert to `str`, please. Data is already a string.
data_polygon = ([i, k])
# Remove this line, it messes it up if retained
# data_polygon = str(data_polygon)
list_polygon.append(data_polygon)
# Why are we converting all lists to string anyway??
# list_polygon = str(list_polygon)
# list_polygon = list_polygon.replace("'",'').replace("(",'').replace(")",'').replace("[[",'[').replace("]]",']')
# Convert all nested strings to floats
list_polygon = [list(map(float, data_polygon)) for data_polygon in list_polygon]
cord_data = {'apiVersion': '1.3',
'context': '<client context>',
'params': {'cameras': [{'active': True, 'id': 1, 'rotation': 0}],
'configurationStatus': 5,
'profiles': [{'camera': 1,
'filters': [{'active': True,
'data': 1,
'type': 'timeShortLivedLimit'},
{'active': True,
'data': 5,
'type': 'distanceSwayingObject'},
{'active': True,
'data': [5, 5],
'type': 'sizePercentage'}],
'name': 'Profile 1',
# Don't nest it within another list (unless needed)
# 'triggers': [{'data': [list_polygon],
'triggers': [{'data': list_polygon,
'type': 'includeArea'}],
'uid': 1}]},
'method': 'setConfiguration'}
pprint(cord_data)
Currently I've indexed my mongoDB collection into Elasticsearch running in a docker container. I am able to query a document by it's exact name, but Elasticsearch is unable to match the query if it is only part of the name. Here is an example:
>>> es = Elasticsearch('0.0.0.0:9200')
>>> es.indices.get_alias('*')
{'mongodb_meta': {'aliases': {}}, 'sigstore': {'aliases': {}}, 'my-index': {'aliases': {}}}
>>> x = es.search(index='sigstore', body={'query': {'match': {'name': 'KEGG_GLYCOLYSIS_GLUCONEOGENESIS'}}})
>>> x
{'took': 198, 'timed_out': False, '_shards': {'total': 1, 'successful': 1, 'skipped': 0, 'failed': 0}, 'hits': {'total': {'value': 1, 'relation': 'eq'}, 'max_score': 8.062855, 'hits': [{'_index': 'sigstore', '_type': 'sigs', '_id': '5d66c23228144432307c2c49', '_score': 8.062855, '_source': {'id': 1, 'name': 'KEGG_GLYCOLYSIS_GLUCONEOGENESIS', 'description': 'http://www.broadinstitute.org/gsea/msigdb/cards/KEGG_GLYCOLYSIS_GLUCONEOGENESIS', 'members': ['ACSS2', 'GCK', 'PGK2', 'PGK1', 'PDHB', 'PDHA1', 'PDHA2', 'PGM2', 'TPI1', 'ACSS1', 'FBP1', 'ADH1B', 'HK2', 'ADH1C', 'HK1', 'HK3', 'ADH4', 'PGAM2', 'ADH5', 'PGAM1', 'ADH1A', 'ALDOC', 'ALDH7A1', 'LDHAL6B', 'PKLR', 'LDHAL6A', 'ENO1', 'PKM2', 'PFKP', 'BPGM', 'PCK2', 'PCK1', 'ALDH1B1', 'ALDH2', 'ALDH3A1', 'AKR1A1', 'FBP2', 'PFKM', 'PFKL', 'LDHC', 'GAPDH', 'ENO3', 'ENO2', 'PGAM4', 'ADH7', 'ADH6', 'LDHB', 'ALDH1A3', 'ALDH3B1', 'ALDH3B2', 'ALDH9A1', 'ALDH3A2', 'GALM', 'ALDOA', 'DLD', 'DLAT', 'ALDOB', 'G6PC2', 'LDHA', 'G6PC', 'PGM1', 'GPI'], 'user': 'naji.taleb#medimmune.com', 'type': 'public', 'level1': 'test', 'level2': 'test2', 'time': '08-28-2019 14:03:29 EDT-0400', 'source': 'File', 'mapped': [''], 'notmapped': [''], 'organism': 'human'}}]}}
When using the full name of the document, elasticsearch is able to successfully query it. But this is what happens when I attempt to search part of the name or use a wildcard:
>>> x = es.search(index='sigstore', body={'query': {'match': {'name': 'KEGG'}}})
>>> x
{'took': 17, 'timed_out': False, '_shards': {'total': 1, 'successful': 1, 'skipped': 0, 'failed': 0}, 'hits': {'total': {'value': 0, 'relation': 'eq'}, 'max_score': None, 'hits': []}}
>>> x = es.search(index='sigstore', body={'query': {'match': {'name': 'KEGG*'}}})
>>> x
{'took': 3, 'timed_out': False, '_shards': {'total': 1, 'successful': 1, 'skipped': 0, 'failed': 0}, 'hits': {'total': {'value': 0, 'relation': 'eq'}, 'max_score': None, 'hits': []}}
In addition to the default index settings I also tried making an index that allows the use of the nGram tokenizer to enable me to do partial search, but that also didn't work. These are the settings I used for that index:
{
"sigstore": {
"aliases": {},
"mappings": {},
"settings": {
"index": {
"max_ngram_diff": "99",
"number_of_shards": "1",
"provided_name": "sigstore",
"creation_date": "1579200699718",
"analysis": {
"filter": {
"substring": {
"type": "nGram",
"min_gram": "1",
"max_gram": "20"
}
},
"analyzer": {
"str_index_analyzer": {
"filter": [
"lowercase",
"substring"
],
"tokenizer": "keyword"
},
"str_search_analyzer": {
"filter": [
"lowercase"
],
"tokenizer": "keyword"
}
}
},
"number_of_replicas": "1",
"uuid": "3nf915U6T9maLdSiJozvGA",
"version": {
"created": "7050199"
}
}
}
}
}
and this is the corresponding python command that created it:
es.indices.create(index='sigstore',body={"mappings": {},"settings": { 'index': { "analysis": {"analyzer": {"str_search_analyzer": {"tokenizer": "keyword","filter": ["lowercase"]},"str_index_analyzer": {"tokenizer": "keyword","filter": ["lowercase", "substring"]}},"filter": {"substring": {"type": "nGram","min_gram": 1,"max_gram": 20}}}},'max_ngram_diff': '99'}})
I use mongo-connector as the pipeline between my mongoDB collection and elasticsearch. This is the command I use to start it:
mongo-connector -m mongodb://username:password#xx.xx.xxx.xx:27017/?authSource=admin -t elasticsearch:9200 -d elastic2_doc_manager -n sigstore.sigs
I'm unsure as to why my elasticsearch is unable to get a partial match, and wondering if there is some setting I'm missing or if there's some crucial mistake I've made somewhere. Thanks for reading.
Versions
MongoDB 4.0.10
elasticsearch==7.1.0
elastic2-doc-manager[elastic5]
Updated after checked your gist:
You need to apply the mapping to your field as written in the doc, cf the first link I share in the comment.
You need to do it after applying the settings on your index according to the gist it's line 11.
Something like:
PUT /your_index/_mapping
{
"properties": {
"name": {
"type": "keyword",
"ignore_above": 256,
"fields": {
"str_search_analyzer": {
"type": "text",
"analyzer": "str_search_analyzer"
}
}
}
}
}
After you set the mapping need to apply it to your document, using update_by_query
https://www.elastic.co/guide/en/elasticsearch/reference/master/docs-update-by-query.html
So you can continue to search with term search on your field name as it will be indexed with a keyword mapping (exact match) and on the sub_field name.str_search_analyzer with part of the word.
your_keyword = 'KEGG_GLYCOLYSIS_GLUCONEOGENESIS' OR 'KEGG*'
x = es.search(index='sigstore', body={'query': {'bool': {'should':[{'term': {'name': your_keyword}},
{'match': {'name.str_search_analyzer': your_keyword}}
]}}
})
I have the followign python problem:
'{acorn: 15,acorn_type: 15,area_name: "London",beds_max: 1,beds_min: 1,branch_id: "21062",branch_name: "Realm Estates",brand_name: "Realm Estates",chain_free: false,company_id: "10832",country_code: "gb",county_area_name: "London",currency_code: "GBP",display_address: "Lancaster Mews, Wandsworth SW18",furnished_state: "unfurnished",group_id: "",has_epc: true,has_floorplan: false,incode: "1BA",is_retirement_home: false,is_shared_ownership: false,listing_condition: "pre-owned",listing_id: 45296714,listing_status: "to_rent",listings_category: "residential",location: "London",member_type: "agent",num_baths: 1,num_beds: 1,num_images: 5,num_recepts: 1,outcode: "SW18",post_town_name: "London",postal_area: "SW",price: 1300,price_actual: 1300,price_max: 1500,price_min: 1250,price_qualifier: "",property_highlight: "",property_type: "flat",region_name: "London",section: "to-rent",size_sq_feet: "",tenure: "",zindex: "686544"}'
I would like to json.load() this string, but clearly all the keys are wrong. it should be 'acorn: 15,... and so on. How could I go bout replacing all words before a : into a string? thanks
According to #daniel-roseman comment, it is better to use yaml to load your string into dict:
import yaml,json
string='{acorn: 15,acorn_type: 15,area_name: "London",beds_max: 1,beds_min: 1,branch_id: "21062",branch_name: "Realm Estates",brand_name: "Realm Estates",chain_free: false,company_id: "10832",country_code: "gb",county_area_name: "London",currency_code: "GBP",display_address: "Lancaster Mews, Wandsworth SW18",furnished_state: "unfurnished",group_id: "",has_epc: true,has_floorplan: false,incode: "1BA",is_retirement_home: false,is_shared_ownership: false,listing_condition: "pre-owned",listing_id: 45296714,listing_status: "to_rent",listings_category: "residential",location: "London",member_type: "agent",num_baths: 1,num_beds: 1,num_images: 5,num_recepts: 1,outcode: "SW18",post_town_name: "London",postal_area: "SW",price: 1300,price_actual: 1300,price_max: 1500,price_min: 1250,price_qualifier: "",property_highlight: "",property_type: "flat",region_name: "London",section: "to-rent",size_sq_feet: "",tenure: "",zindex: "686544"}'
dict_version = yaml.safe_load(string)
print dict_version
#if you need json version
json_version = json.dumps(dict_version)
print json_version
which give you:
{'listing_status': 'to_rent', 'outcode': 'SW18', 'brand_name': 'Realm Estates', 'member_type': 'agent', 'chain_free': False, 'area_name': 'London', 'is_shared_ownership': False, 'country_code': 'gb', 'beds_max': 1, 'property_type': 'flat', 'incode': '1BA', 'furnished_state': 'unfurnished', 'branch_id': '21062', 'listing_id': 45296714, 'has_floorplan': False, 'beds_min': 1, 'section': 'to-rent', 'company_id': '10832', 'price_min': 1250, 'zindex': '686544', 'location': 'London', 'county_area_name': 'London', 'acorn_type': 15, 'is_retirement_home': False, 'price_max': 1500, 'listing_condition': 'pre-owned', 'display_address': 'Lancaster Mews, Wandsworth SW18', 'region_name': 'London', 'price': 1300, 'num_images': 5, 'listings_category': 'residential', 'branch_name': 'Realm Estates', 'post_town_name': 'London', 'acorn': 15, 'num_recepts': 1, 'size_sq_feet': '', 'price_qualifier': '', 'postal_area': 'SW', 'property_highlight': '', 'price_actual': 1300, 'num_baths': 1, 'num_beds': 1, 'has_epc': True, 'tenure': '', 'group_id': '', 'currency_code': 'GBP'}
{"listing_status": "to_rent", "outcode": "SW18", "brand_name": "Realm Estates", "member_type": "agent", "chain_free": false, "area_name": "London", "is_shared_ownership": false, "country_code": "gb", "beds_max": 1, "property_type": "flat", "incode": "1BA", "furnished_state": "unfurnished", "branch_id": "21062", "listing_id": 45296714, "has_floorplan": false, "beds_min": 1, "section": "to-rent", "company_id": "10832", "price_min": 1250, "zindex": "686544", "location": "London", "county_area_name": "London", "acorn_type": 15, "is_retirement_home": false, "price_max": 1500, "listing_condition": "pre-owned", "display_address": "Lancaster Mews, Wandsworth SW18", "region_name": "London", "price": 1300, "num_images": 5, "listings_category": "residential", "branch_name": "Realm Estates", "post_town_name": "London", "acorn": 15, "num_recepts": 1, "size_sq_feet": "", "price_qualifier": "", "postal_area": "SW", "property_highlight": "", "price_actual": 1300, "num_baths": 1, "num_beds": 1, "has_epc": true, "tenure": "", "group_id": "", "currency_code": "GBP"}
I have a JSON with following structure:
{
'count': 93,
'apps' : [
{
'last_modified_at': '2016-10-21T12:20:26Z',
'frequency_caps': [],
'ios': {
'enabled': True,
'push_enabled': False,
'app_store_id': 'bbb',
'connection_type': 'certificate',
'sdk_api_secret': '--'
},
'organization_id': '--',
'name': '---',
'app_id': 27,
'control_group_percentage': 0,
'created_by': {
'user_id': 'abc',
'user_name': 'def'
},
'created_at': '2016-09-28T11:41:24Z',
'web': {}
}, {
'last_modified_at': '2016-10-12T08:58:57Z',
'frequency_caps': [],
'ios': {
'enabled': True,
'push_enabled': True,
'app_store_id': '386304604',
'connection_type': 'certificate',
'sdk_api_secret': '---',
'push_expiry': '2018-01-14T08:24:09Z'
},
'organization_id': '---',
'name': '---',
'app_id': 87,
'control_group_percentage': 0,
'created_by': {
'user_id': '----',
'user_name': '---'
},
'created_at': '2016-10-12T08:58:57Z',
'web': {}
}
]
}
It's a JSON with two key-value-pairs. The second pair's value is a List of more JSON's.
For me it is too much information and I want to have a JSON like this:
{
'apps' : [
{
'name': 'Appname',
'app_id' : 1234,
'organization_id' : 'Blablabla'
},
{
'name': 'Appname2',
'app_id' : 5678,
'organization_id' : 'Some other Organization'
}
]
}
I want to have a JSON that only contains one key ("apps") and its value, which would be a List of more JSONs that only have three key-value-pairs..
I am thankful for any advice.
Thank you for your help!
#bishakh-ghosh I don't think you need to use the input json as string. It can be used straight as a dictionary. (thus avoid ast)
One more concise way :
# your original json
input_ = { 'count': 93, ... }
And here are the steps :
Define what keys you want to keep
slice_keys = ['name', 'app_id', 'organization_id']
Define the new dictionary as a slice on the slice_keys
dict(apps=[{key:value for key,value in d.items() if key in slice_keys} for d in input_['apps']])
And that's it.
That should yield the JSON formatted as you want, e.g
{
'apps':
[
{'app_id': 27, 'name': '---', 'organization_id': '--'},
{'app_id': 87, 'name': '---', 'organization_id': '---'}
]
}
This might be what you are looking for:
import ast
import json
json_str = """{
'count': 93,
'apps' : [
{
'last_modified_at': '2016-10-21T12:20:26Z',
'frequency_caps': [],
'ios': {
'enabled': True,
'push_enabled': False,
'app_store_id': 'bbb',
'connection_type': 'certificate',
'sdk_api_secret': '--'
},
'organization_id': '--',
'name': '---',
'app_id': 27,
'control_group_percentage': 0,
'created_by': {
'user_id': 'abc',
'user_name': 'def'
},
'created_at': '2016-09-28T11:41:24Z',
'web': {}
}, {
'last_modified_at': '2016-10-12T08:58:57Z',
'frequency_caps': [],
'ios': {
'enabled': True,
'push_enabled': True,
'app_store_id': '386304604',
'connection_type': 'certificate',
'sdk_api_secret': '---',
'push_expiry': '2018-01-14T08:24:09Z'
},
'organization_id': '---',
'name': '---',
'app_id': 87,
'control_group_percentage': 0,
'created_by': {
'user_id': '----',
'user_name': '---'
},
'created_at': '2016-10-12T08:58:57Z',
'web': {}
}
]
}"""
json_dict = ast.literal_eval(json_str)
new_dict = {}
app_list = []
for appdata in json_dict['apps']:
appdata_dict = {}
appdata_dict['name'] = appdata['name']
appdata_dict['app_id'] = appdata['app_id']
appdata_dict['organization_id'] = appdata['organization_id']
app_list.append(appdata_dict)
new_dict['apps'] = app_list
new_json_str = json.dumps(new_dict)
print(new_json_str) # This is your resulting json string