我对 Alamofire 还很陌生，我正在尝试找到一种方法，只在搜索队列中显示 IPO，而不是雅虎财务数据库中的每只股票。有没有办法可以限制日期和时间戳显示的结果。作为引用，我使用了很多 swift stock 代码/示例，所以我希望有人能提供帮助。谢谢。我放了一些来自 yahoo api 的代码。我希望只显示特定价格的股票和/或显示迄今为止相对较新的股票。谢谢。
import UIKit
导入 Alamofire
结构 StockSearchResult { var 符号:字符串？ 变量名称:字符串？ 变量交换:字符串？ var assetType:字符串？ }
结构库存{
var ask: String?
var averageDailyVolume: String?
var bid: String?
var bookValue: String?
var changeNumeric: String?
var changePercent: String?
var dayHigh: String?
var dayLow: String?
var dividendShare: String?
var dividendYield: String?
var ebitda: String?
var epsEstimateCurrentYear: String?
var epsEstimateNextQtr: String?
var epsEstimateNextYr: String?
var eps: String?
var fiftydayMovingAverage: String?
var lastTradeDate: String?
var last: String?
var lastTradeTime: String?
var marketCap: String?
var companyName: String?
var oneYearTarget: String?
var open: String?
var pegRatio: String?
var peRatio: String?
var previousClose: String?
var priceBook: String?
var priceSales: String?
var shortRatio: String?
var stockExchange: String?
var symbol: String?
var twoHundreddayMovingAverage: String?
var volume: String?
var yearHigh: String?
var yearLow: String?
var dataFields: [[String : String]]
}
结构图点{ var 日期:NSDate？ var 体积:整数？ var open: CGFloat? var close: CGFloat? var low:CGFloat？ var high: CGFloat?
}
枚举图表时间范围{ 案例一天、五天、十天、一个月、三个月、一年、五年 }
类 SwiftStockKit {
class func fetchStocksFromSearchTerm(term term: String, completion:(stockInfoArray: [StockSearchResult]) -> ()) {
dispatch_async(dispatch_get_global_queue(DISPATCH_QUEUE_PRIORITY_DEFAULT, 0)) {
let searchURL = "http://autoc.finance.yahoo.com/autoc"
Alamofire.request(.GET, searchURL, parameters: ["query": term, "region": 2, "lang": "en"]).responseJSON { response in
if let resultJSON = response.result.value as? [String : AnyObject] {
if let jsonArray = (resultJSON["ResultSet"] as! [String : AnyObject])["Result"] as? [[String : String]] {
var stockInfoArray = [StockSearchResult]()
for dictionary in jsonArray {
stockInfoArray.append(StockSearchResult(symbol: dictionary["symbol"], name: dictionary["name"], exchange: dictionary["exchDisp"], assetType: dictionary["typeDisp"]))
}
dispatch_async(dispatch_get_main_queue()) {
completion(stockInfoArray: stockInfoArray)
}
}
}
}
}
}
class func fetchStockForSymbol(symbol symbol: String, completion:(stock: Stock) -> ()) {
dispatch_async(dispatch_get_global_queue(DISPATCH_QUEUE_PRIORITY_DEFAULT, 0)) {
let stockURL = "http://query.yahooapis.com/v1/public/yql?q=select%20*%20from%20yahoo.finance.quotes%20where%20symbol%20in%20(%22\(symbol)%22)&env=store%3A%2F%2Fdatatables.org%2Falltableswithkeys&format=json"
Alamofire.request(.GET, stockURL).responseJSON { response in
if let resultJSON = response.result.value as? [String : AnyObject] {
if let stockData = ((resultJSON["query"] as! [String : AnyObject])["results"] as! [String : AnyObject])["quote"] as? [String : AnyObject] {
// lengthy creation, yeah
var dataFields = [[String : String]]()
dataFields.append(["Ask" : stockData["Ask"] as? String ?? "N/A"])
dataFields.append(["Average Daily Volume" : stockData["AverageDailyVolume"] as? String ?? "N/A"])
dataFields.append(["Bid" : stockData["Bid"] as? String ?? "N/A"])
dataFields.append(["Book Value" : stockData["BookValue"] as? String ?? "N/A"])
dataFields.append(["Change" : stockData["Change"] as? String ?? "N/A"])
dataFields.append(["Percent Change" : stockData["ChangeinPercent"] as? String ?? "N/A"])
dataFields.append(["Day High" : stockData["DaysHigh"] as? String ?? "N/A"])
dataFields.append(["Day Low" : stockData["DaysLow"] as? String ?? "N/A"])
dataFields.append(["Div/Share" : stockData["DividendShare"] as? String ?? "N/A"])
dataFields.append(["Div Yield" : stockData["DividendYield"] as? String ?? "N/A"])
dataFields.append(["EBITDA" : stockData["EBITDA"] as? String ?? "N/A"])
dataFields.append(["Current Yr EPS Estimate" : stockData["EPSEstimateCurrentYear"] as? String ?? "N/A"])
dataFields.append(["Next Qtr EPS Estimate" : stockData["EPSEstimateNextQuarter"] as? String ?? "N/A"])
dataFields.append(["Next Yr EPS Estimate" : stockData["EPSEstimateNextYear"] as? String ?? "N/A"])
dataFields.append(["Earnings/Share" : stockData["EarningsShare"] as? String ?? "N/A"])
dataFields.append(["50D MA" : stockData["FiftydayMovingAverage"] as? String ?? "N/A"])
dataFields.append(["Last Trade Date" : stockData["LastTradeDate"] as? String ?? "N/A"])
dataFields.append(["Last" : stockData["LastTradePriceOnly"] as? String ?? "N/A"])
dataFields.append(["Last Trade Time" : stockData["LastTradeTime"] as? String ?? "N/A"])
dataFields.append(["Market Cap" : stockData["MarketCapitalization"] as? String ?? "N/A"])
dataFields.append(["Company" : stockData["Name"] as? String ?? "N/A"])
dataFields.append(["One Yr Target" : stockData["OneyrTargetPrice"] as? String ?? "N/A"])
dataFields.append(["Open" : stockData["Open"] as? String ?? "N/A"])
dataFields.append(["PEG Ratio" : stockData["PEGRatio"] as? String ?? "N/A"])
dataFields.append(["PE Ratio" : stockData["PERatio"] as? String ?? "N/A"])
dataFields.append(["Previous Close" : stockData["PreviousClose"] as? String ?? "N/A"])
dataFields.append(["Price-Book" : stockData["PriceBook"] as? String ?? "N/A"])
dataFields.append(["Price-Sales" : stockData["PriceSales"] as? String ?? "N/A"])
dataFields.append(["Short Ratio" : stockData["ShortRatio"] as? String ?? "N/A"])
dataFields.append(["Stock Exchange" : stockData["StockExchange"] as? String ?? "N/A"])
dataFields.append(["Symbol" : stockData["Symbol"] as? String ?? "N/A"])
dataFields.append(["200D MA" : stockData["TwoHundreddayMovingAverage"] as? String ?? "N/A"])
dataFields.append(["Volume" : stockData["Volume"] as? String ?? "N/A"])
dataFields.append(["52w High" : stockData["YearHigh"] as? String ?? "N/A"])
dataFields.append(["52w Low" : stockData["YearLow"] as? String ?? "N/A"])
let stock = Stock(
ask: dataFields[0].values.first,
averageDailyVolume: dataFields[1].values.first,
bid: dataFields[2].values.first,
bookValue: dataFields[3].values.first,
changeNumeric: dataFields[4].values.first,
changePercent: dataFields[5].values.first,
dayHigh: dataFields[6].values.first,
dayLow: dataFields[7].values.first,
dividendShare: dataFields[8].values.first,
dividendYield: dataFields[9].values.first,
ebitda: dataFields[10].values.first,
epsEstimateCurrentYear: dataFields[11].values.first,
epsEstimateNextQtr: dataFields[12].values.first,
epsEstimateNextYr: dataFields[13].values.first,
eps: dataFields[14].values.first,
fiftydayMovingAverage: dataFields[15].values.first,
lastTradeDate: dataFields[16].values.first,
last: dataFields[17].values.first,
lastTradeTime: dataFields[18].values.first,
marketCap: dataFields[19].values.first,
companyName: dataFields[20].values.first,
oneYearTarget: dataFields[21].values.first,
open: dataFields[22].values.first,
pegRatio: dataFields[23].values.first,
peRatio: dataFields[24].values.first,
previousClose: dataFields[25].values.first,
priceBook: dataFields[26].values.first,
priceSales: dataFields[27].values.first,
shortRatio: dataFields[28].values.first,
stockExchange: dataFields[29].values.first,
symbol: dataFields[30].values.first,
twoHundreddayMovingAverage: dataFields[31].values.first,
volume: dataFields[32].values.first,
yearHigh: dataFields[33].values.first,
yearLow: dataFields[34].values.first,
dataFields: dataFields
)
dispatch_async(dispatch_get_main_queue()) {
completion(stock: stock)
}
}
}
}
}
}
class func fetchChartPoints(symbol symbol: String, range: ChartTimeRange, completion:(chartPoints: [ChartPoint]) -> ()) {
dispatch_async(dispatch_get_global_queue(DISPATCH_QUEUE_PRIORITY_DEFAULT, 0)) {
//An Alamofire regular responseJSON wont parse the JSONP with a callback wrapper correctly, so lets work around that.
let chartURL = SwiftStockKit.chartUrlForRange(symbol, range: range)
Alamofire.request(.GET, chartURL).responseData { response in
if let data = response.result.value {
var jsonString = NSString(data: data, encoding: NSUTF8StringEncoding)!
jsonString = jsonString.substringFromIndex(30)
jsonString = jsonString.substringToIndex(jsonString.length-1)
if let data = jsonString.dataUsingEncoding(NSUTF8StringEncoding) {
if let resultJSON = (try? NSJSONSerialization.JSONObjectWithData(data, options: NSJSONReadingOptions(rawValue: 0))) as? [String : AnyObject] {
let series = resultJSON["series"] as! [[String : AnyObject]]
var chartPoints = [ChartPoint]()
for dataPoint in series {
//GMT off by 5 hrs
let date = NSDate(timeIntervalSince1970: (dataPoint["Timestamp"] as? Double ?? dataPoint["Date"] as! Double) - 18000.0)
chartPoints.append(
ChartPoint(
date: date,
volume: dataPoint["volume"] as? Int,
open: dataPoint["open"] as? CGFloat,
close: dataPoint["close"] as? CGFloat,
low: dataPoint["low"] as? CGFloat,
high: dataPoint["high"] as? CGFloat
)
)
}
dispatch_async(dispatch_get_main_queue()) {
completion(chartPoints: chartPoints)
}
}
}
}
}
}
}
最佳答案
您可以过滤从服务器获取的 Json 数据。 不确定你到底想要什么。请分享一些代码或详细说明问题
关于swift - 我正在努力寻找一种方法将 IPO 股票从雅虎财经 API 中撤出，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/38413119/