doniatung
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    # Design ## user interface VR interface Program arrives on stdin, one per line, and response is printed to stdout ## inputs and outputs input: 2 floats, longitude and latitude output: XML-format weather report OR string: "out of bounds" ## functional decomposition into modules get from NWS cache results from NWS main method ## pseudo code for logic/algorithmic flow main ``` init_nws init cache inputLoop read from stdin extract lat, long IF incorrect, print "input error" ELSE xml = fetch(lat, long) IF XML out of bounds print "out of bounds" ELSE print xml ``` nws ``` init_nws : init module list_nws: return a list of weather stations and locations connect to NWS server download list of station code names parse the response build and return array of station codes fetch_nws: fetches xml for a given statino connect to NWS server request for given station code download & return xml end_nws: de-init module ``` cache ``` init_cache: init module make quadtree for each station in list_nws: xml = nws_fetch(station) add station to quadtree fetch_cache: use quadtree to find all points in each quadrant within a certain longitude and latitude if no such quadrants found: return "out of bounds" find distance between (x,y) and each station in quadtree if the station is more than 100 miles away: return "out of bounds" search the xml for the closest station if the xml metadata indicates NWS would likely have posted a newer observation by now: nws_fetch(station) and replace our xml with fresh data return the xml for this station. end_cache de-initialize module ``` ## major data structures cache of xml fetched from NWS indexed by point (x,y) which correspodns to (latitude, longitude) ## performance we need high throughput and low latency for high throughput: * replicate the service * load balancer to split up requests between replicas * for low latency: * periodic cache-update strategy * run as a background thread to update xml within the cache while foreground thread can still serve requests ## testing plan #### unit testing main: Provide "stub" version of nws and cache modules with known behavior and require no network access nws: Driver that invokes module functions. Explores erroneous and edge cases. cache: Driver that that invokes module functions. Explores erroenous and edge cases. #### integration testing The complete server will be tested as a system, by driving it with a series of requests on stdin. Two sets of inputs will be crafted, at least: one set of erroneous inputs and one set of valid inputs. The valid inputs shall push on common cases as well as 'edge' cases. ##### should fail * out of bounds lat/long (either, or, both) * invalid number of inputs (too many, too few) ##### should pass * valid long/lat inputs # Implementation ## data structures Primary data structure in cache module is implemented by a quadtree. Each tree node is either a leaf or a non-leaf, while every leaf contains one station. ## control flow for overall flow ``` nws_init() cache_init() while ( not EOF on stdin ) read one line from stdin IF failed in extracting latitude,longitude from line THEN print "input error" ELSE xml = cache_fetch(latitude, longitude) IF xml == NULL THEN print "out of bounds" ELSE print xml ``` ## control flow for each of the functions `cache_fetch` function: ``` station_t* s = findStation(cache.tree, lat, long) if s is not NULL if s->timestamp is not recent s -> xml = nws_fetch(s->code) return s->xml return null ``` function `findStation(tree, lat, long)` ``` if tree->station is not NULL if distance(tree->station, lat, long) <= 100 miles return tree->station else return null else closest = NULL for each non NULL subquadrant q of tree if any location in q is <100 miles from (lat, long) s = findStation(q, lat, long) if closest is NULL || distance(s, lat, long) < distance(closest, lat, long) closest = s return closest ``` ## detailed function prototypes ``` void nws_init(void); char** nws_list(void); // returns array of string pointers, last one null char* nws_fetch(const char* stationCode); void nws_end(); ``` ``` void cache_init(void); char* cache_fetch(const float lat, long); void cache_end(void); // local helper functions station_t* findStation(quad_t* tree, const float lat, long); ``` ## error handling and recovery Implementation uses defensive-programming to catch errors. In the worst case, service craches, and 'watchdog' script re-launches service. ## persistent storage (files, database, etc.) All data lives in NWS, our server catches the data ## testing plan test main by giving it fake input test nws modules by using a driver to try all possible errors and also try to overload it with too many requests

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